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Sample records for artificial intelligence cxs

  1. Artificial Intelligence 

    E-Print Network [OSTI]

    Appleton, D. S.

    1985-01-01

    This paper is a general overview of the field of artificial Intelligence and of some of the application issues within that field. Its first objective is to try and establish a viable definition for what artificial intelligence is, and to make a...

  2. Artificial Intelligence Intelligent Agents

    E-Print Network [OSTI]

    Voris, Jonathan

    CS W4701 Artificial Intelligence Fall 2013 Chapter 2: Intelligent Agents Jonathan Voris (based, Environment, Actuators, Sensors) · Environment types · Agent types #12;Agents · An agent is anything that can be viewed as perceiving its environment through sensors and acting upon that environment through actuators

  3. Artificial Intelligence Daniel Polani

    E-Print Network [OSTI]

    Polani, Daniel

    Artificial Intelligence Daniel Polani Artificial Intelligence ­ p.1/26 Is it AI? 1. text editor 2 12. Turing test contenders Artificial Intellige The Turing Test: is partner human or not? See: e.g. [Saygin et al., 2000] Artificial Intelligence ­ p.3/26 The Turing Test II

  4. Artificial Intelligence and Robotics

    E-Print Network [OSTI]

    Brady, Michael

    1984-02-01

    Since Robotics is the field concerned with the connection of perception to action, Artificial Intelligence must have a central role in Robotics if the connection is to be intelligent. Artificial Intelligence addresses ...

  5. Encyclopedia of Artificial Intelligence

    E-Print Network [OSTI]

    Liang, Faming

    Encyclopedia of Artificial Intelligence Juan Ramón Rabuñal Dopico University of A Coruña, Spain of artificial intelligence / Juan Ramon Rabunal Dopico, Julian Dorado de la Calle, and Alejandro Pazos Sierra) -- ISBN 978-1-59904-850-5 (ebook) 1. Artificial intelligence--Encyclopedias. I. Rabunal, Juan Ramon, 1973

  6. Industrial Applications of Artificial Intelligence

    E-Print Network [OSTI]

    Fox, Mark S.

    Industrial Applications of Artificial Intelligence 301 Mark S. Fox Intelligent Systems Laboratory and future applicationsof Artificial Intelligence (AI) and Knowledge-Based systems to manufactur- ing is taking a systemic view of manufacturing. Keywords: Artificial Intelligence and Manufacturing, Knowl- edge

  7. Constructive Artificial Intelligence Information Theory

    E-Print Network [OSTI]

    Polani, Daniel

    Constructive Artificial Intelligence Information Theory Daniel Polani School of Computer Science referenced. Constructive Artificial Intelligence #12;Coin Weighing Problem (after Denker 2004) Problem Given (minimax principle) Constructive Artificial Intelligence #12;Considerations Note in a measurement, left

  8. Artificial Intelligence Decision and Information

    E-Print Network [OSTI]

    Polani, Daniel

    Artificial Intelligence Decision and Information Daniel Polani Artificial Intelligence ­ p.1/26 Decisions: The Fundamental Task Motivation: everything in Artificial Intelligence is basical about taking Intellige Decision: What Door to Open? Artificial Intelligence ­ p.3/26 Bottom Line Clear: decision about

  9. The Evolutionary Emergence Artificial Intelligence

    E-Print Network [OSTI]

    Fernandez, Thomas

    The Evolutionary Emergence route to Artificial Intelligence Alastair Channon Degree: MSc with a brief discussion. Keywords: Artificial Intelligence, Emergence, Genetic Algorithms, Artificial Life: Inman Harvey Submitted: 2 September 1996 (Minor revisions October 1996) Abstract The artificial

  10. ENTRY ARTIFICIAL INTELLIGENCE [ENTRY ARTIFICIAL INTELLIGENCE] Authors: Oliver Knill: March 2000 Literature: Peter Norvig,

    E-Print Network [OSTI]

    Knill, Oliver

    ENTRY ARTIFICIAL INTELLIGENCE [ENTRY ARTIFICIAL INTELLIGENCE] Authors: Oliver Knill: March 2000 Literature: Peter Norvig, Paradigns of Artificial Intelligence Programming Daniel Juravsky and James Martin interface to a neural net simulator. artificial intelligence [artificial intelligence] (AI) is a field

  11. Universal Artificial Intelligence Marcus Hutter

    E-Print Network [OSTI]

    Hutter, Marcus

    Universal Artificial Intelligence Marcus Hutter Canberra, ACT, 0200, Australia http://www.hutter1.net/ #12;Marcus Hutter - 2 - Universal Artificial Intelligence Abstract The dream of creating artificial devices that reach or outperform human intelligence is many centuries old. In this talk I present

  12. Foundations of Artificial Intelligence Introduction

    E-Print Network [OSTI]

    Qu, Rong

    Foundations of Artificial Intelligence Introduction to the Course Module G64FAI #12;General in Artificial Intelligence (AI) · Provide an understanding of the theory of a range of those techniques · Introduce the students to a number of Artificial Intelligence applications · Show how these systems can

  13. Introduction to Artificial Intelligence Discuss what is meant by Artificial Intelligence (AI)

    E-Print Network [OSTI]

    Qu, Rong

    Introduction to Artificial Intelligence Objectives · Discuss what is meant by Artificial important AI tests and terms #12;Introduction to Artificial Intelligence Sections · What is Artificial to Artificial Intelligence Question 1 Can a Machine Ever Be Intelligent ? (survey) #12;Introduction

  14. Artificial General Intelligence and the Future of the Human Race

    E-Print Network [OSTI]

    Pavlacka, Bryon

    2012-01-01

    Institute for Artificial Intelligence [SIAI], 2001, para.robot architecture. Artificial general intelligence, 2008:machines. Artificial general intelligence, 2008: Proceedings

  15. Artificial Intelligence in BiomedicalArtificial Intelligence in Biomedical InformaticsInformatics

    E-Print Network [OSTI]

    Reed, Nancy E.

    ICS 313 1 Artificial Intelligence in BiomedicalArtificial Intelligence in Biomedical Informatics Systems Outline and Objectives Describe basic concepts in artificial intelligence Understand is Artificial Intelligence (AI)? Goals of AI systems fall into four categories: Thinking humanly Thinking

  16. MASSACHUSETTS INSTITUTE OF TECHNOLOGY ARTIFICIAL INTELLIGENCE LABORATORY

    E-Print Network [OSTI]

    Poggio, Tomaso

    MASSACHUSETTS INSTITUTE OF TECHNOLOGY ARTIFICIAL INTELLIGENCE LABORATORY and CENTER FOR BIOLOGICAL and Applications Gideon P. Stein Amnon Shashua Artificial Intelligence Laboratory Institute of Computer Science MIT of Technology, 1995 This report describes research done at the Artificial Intelligence Laboratory

  17. MASSACHUSETTS INSTITUTE OF TECHNOLOGY ARTIFICIAL INTELLIGENCE LABORATORY

    E-Print Network [OSTI]

    Poggio, Tomaso

    MASSACHUSETTS INSTITUTE OF TECHNOLOGY ARTIFICIAL INTELLIGENCE LABORATORY and CENTER FOR BIOLOGICAL Sciences Massachusetts Institute of Technology Cambridge, MA 02139 y Artificial Intelligence Laboratory Institute of Technology, 1995. This report describes research done partly at the Artificial Intelligence

  18. The 2008 Artificial Intelligence Competition Valliappa Lakshmanan

    E-Print Network [OSTI]

    Lakshmanan, Valliappa

    The 2008 Artificial Intelligence Competition Valliappa Lakshmanan National Severe Storms Laboratory Pennsylvania State University Abstract The Artificial Intelligence Committee of the AMS conducted. The ranking was carried out using the True Skill Statistic. Introduction The Artificial Intelligence Comittee

  19. MASSACHUSETTS INSTITUTE OF TECHNOLOGY ARTIFICIAL INTELLIGENCE LABORATORY

    E-Print Network [OSTI]

    Poggio, Tomaso

    MASSACHUSETTS INSTITUTE OF TECHNOLOGY ARTIFICIAL INTELLIGENCE LABORATORY and CENTER FOR BIOLOGICAL and Computa­ tional Learning, and the Artificial Intelligence Laboratory of the Massachusetts Institute for the laboratory's artificial intelligence research is provided in part by the Advanced Research Projects Agency

  20. MASSACHUSETTS INSTITUTE OF TECHNOLOGY ARTIFICIAL INTELLIGENCE LABORATORY

    E-Print Network [OSTI]

    Poggio, Tomaso

    MASSACHUSETTS INSTITUTE OF TECHNOLOGY ARTIFICIAL INTELLIGENCE LABORATORY and CENTER FOR BIOLOGICAL and Cognitive Sciences and the Artificial Intelligence Laboratory at the Massachusetts Institute of Technology

  1. MASSACHUSETTS INSTITUTE OF TECHNOLOGY ARTIFICIAL INTELLIGENCE LABORATORY

    E-Print Network [OSTI]

    Poggio, Tomaso

    MASSACHUSETTS INSTITUTE OF TECHNOLOGY ARTIFICIAL INTELLIGENCE LABORATORY and CENTER FOR BIOLOGICAL research done at the Center for Biological & Computational Learning and the Artificial Intelligence

  2. MASSACHUSETTS INSTITUTE OF TECHNOLOGY ARTIFICIAL INTELLIGENCE LABORATORY

    E-Print Network [OSTI]

    Poggio, Tomaso

    MASSACHUSETTS INSTITUTE OF TECHNOLOGY ARTIFICIAL INTELLIGENCE LABORATORY and CENTER FOR BIOLOGICAL and the Artificial Intelligence Laboratory of the Massachusetts Institute of Technology. This research was sponsored

  3. MASSACHUSETTS INSTITUTE OF TECHNOLOGY ARTIFICIAL INTELLIGENCE LABORATORY

    E-Print Network [OSTI]

    Poggio, Tomaso

    MASSACHUSETTS INSTITUTE OF TECHNOLOGY ARTIFICIAL INTELLIGENCE LABORATORY and CENTER FOR BIOLOGICAL and Computational Learning in the Department of Brain and Cognitive Sciences and at the Artificial Intelligence

  4. MASSACHUSETTS INSTITUTE OF TECHNOLOGY ARTIFICIAL INTELLIGENCE LABORATORY

    E-Print Network [OSTI]

    Poggio, Tomaso

    MASSACHUSETTS INSTITUTE OF TECHNOLOGY ARTIFICIAL INTELLIGENCE LABORATORY and CENTER FOR BIOLOGICAL for Biological and Computational Learning and the Artificial Intelligence Laboratory of the Massachusetts

  5. Discoveryourself.Startwiththeworld. ARTIFICIAL INTELLIGENCE

    E-Print Network [OSTI]

    Davis, Jesse

    1 Discoveryourself.Startwiththeworld. New option B ig D ata A nalytics #12;32 ARTIFICIAL, through natural language as well as through vision, sensors and movement. A robot that can represent its that we tend to consider typical of intelligent living beings. WHY STUDY ARTIFICIAL INTELLIGENCE

  6. Applying Artificial Intelligence to Virtual Reality: Intelligent Virtual Environments

    E-Print Network [OSTI]

    Luck, Michael

    Applying Artificial Intelligence to Virtual Reality: Intelligent Virtual Environments Ruth Aylett intelligence and artificial life on the other has largely been carried out by two different groups of people combining artificial intelligence and artificial life techniques with those of virtual environments

  7. Artificial Intelligence 47 (1991) 31-56 31 Logic and artificial intelligence

    E-Print Network [OSTI]

    Pratt, Vaughan

    1991-01-01

    Artificial Intelligence 47 (1991) 31-56 31 Elsevier Logic and artificial intelligence Nils J Abstract Nilsson, N.J., Logic and artificial intelligence, Artificial Intelligence 47 (1990) 31-56. The theoretical foundations of the logical approach to artificial intelligence are presented. Logical languages

  8. New Progress in Artificial Intelligence

    E-Print Network [OSTI]

    Winston, Patrick H.

    1974-09-01

    This report concentrates on progress during the last two years at the M.I.T. Artificial Intelligence Laboratory. Topics covered include the representation of knowledge, understanding English, learning and debugging, ...

  9. Intelligent Interfaces Artificial Intelligence Meets Human Computer Interaction

    E-Print Network [OSTI]

    Meliou, Alexandra

    Intelligent Us er Interfaces Artificial Intelligence Meets Human Computer Interaction r r f ala ris of Intelligent User Interface design is often loosely described as the intersection of the fields of Artificial is that they elude to specific artificial intelligence techniques and as Waern writes ``What, exactly, counts

  10. Artificial Intelligence 119 (2000) 295299 Book Review

    E-Print Network [OSTI]

    Würtz, Rolf P.

    2000-01-01

    Artificial Intelligence 119 (2000) 295­299 Book Review Gossiping Nets 6 Rolf P. Würtz 1 Ruhr;296 R.P. Würtz / Artificial Intelligence 119 (2000) 295­299 Anderson and Rosenfeld present a book

  11. MASSACHUSETTS INSTITUTE OF TECHNOLOGY ARTIFICIAL INTELLIGENCE LABORATORY

    E-Print Network [OSTI]

    Poggio, Tomaso

    MASSACHUSETTS INSTITUTE OF TECHNOLOGY ARTIFICIAL INTELLIGENCE LABORATORY and CENTER FOR BIOLOGICAL parameters could possibly have application to other problems in vision. We investigate one such application and Cognitive Sciences and at the Artificial Intelligence Laboratory at the Massachusetts Institute

  12. MASSACHUSETTS INSTITUTE OF TECHNOLOGY ARTIFICIAL INTELLIGENCE LABORATORY

    E-Print Network [OSTI]

    Poggio, Tomaso

    MASSACHUSETTS INSTITUTE OF TECHNOLOGY ARTIFICIAL INTELLIGENCE LABORATORY and CENTER FOR BIOLOGICAL vision tasks, including the computation of image correspondence, object verification, image synthesis at the Artificial Intelligence Laboratory and within the Center for Biological and Computational Learning

  13. MASSACHUSETTS INSTITUTE OF TECHNOLOGY ARTIFICIAL INTELLIGENCE LABORATORY

    E-Print Network [OSTI]

    Poggio, Tomaso

    MASSACHUSETTS INSTITUTE OF TECHNOLOGY ARTIFICIAL INTELLIGENCE LABORATORY and CENTER FOR BIOLOGICAL parameters could possibly have application to other problems in vision. We investigate one such application of Brain and Cognitive Sciences and at the Artificial Intelligence Laboratory at the Massachusetts

  14. Artificial Intelligence: CS background D. Keil 7/11 David Keil, CSCI 400 Artificial Intelligence

    E-Print Network [OSTI]

    Keil, David M.

    Artificial Intelligence: CS background D. Keil 7/11 David Keil, CSCI 400 Artificial Intelligence Arrangements of data 1D. Keil Special Topics: Artificial Intelligence 1/12 2. Arrangements Topics: Artificial Intelligence 1/12 ( g ) y p * the set of all strings over L * a language (set

  15. 4. Uncertainty D. Keil Artificial Intelligence 1/12 CSCI 400 Artificial Intelligence

    E-Print Network [OSTI]

    Keil, David M.

    4. Uncertainty D. Keil Artificial Intelligence 1/12 CSCI 400 Artificial Intelligence David Keil in partially observable and non- deterministic environments? D. Keil Special Topics: Artificial Intelligence 1/12 2 #12;4. Uncertainty D. Keil Artificial Intelligence 1/12 Objectives 4a. Describe ways to operate

  16. Artificial Intelligence Progress Report

    E-Print Network [OSTI]

    Minsky, Marvin

    1972-01-01

    Research at the Laboratory in vision, language, and other problems of intelligence. This report is an attempt to combine a technical progress report with an exposition of our point of view about certain problems in the ...

  17. ARTIFICIAL INTELLIGENCE PLANNING PROBLEMS PETRI NET FRAMEWORK

    E-Print Network [OSTI]

    Antsaklis, Panos

    ARTIFICIAL INTELLIGENCE PLANNING PROBLEMS IN A PETRI NET FRAMEWORK K.M Passino and PJ. Antsaluis defined and then used to model a class of Artificial Intelligence planning problems. A planning stegy. As an iJlustration of the results three Artificial Intelligence planning problems are modelled and soved

  18. History and Philosophy of Artificial Intelligence

    E-Print Network [OSTI]

    Alechina, Natasha

    G52HPA: History and Philosophy of Artificial Intelligence Lecture 1: Module Overview Tony Pridmore syllabus © Brian Logan 2008 G52HPA Lecture 1: Module Overview 2 What is Artificial Intelligence? © Brian Logan 2008 G52HPA Lecture 1: Module Overview 3 What is Artificial Intelligence? · "The study of how

  19. Unifying Artificial Intelligence Robotics: An Undergraduate Textbook

    E-Print Network [OSTI]

    Crabbe, Frederick

    Unifying Artificial Intelligence Robotics: An Undergraduate Textbook Introduction to AI Robotics the artificial intelligence (AI) perspective. Robin Murphy's Introduction to AI Robotics (IAIR) is a new and artificial, intelligence perspective. Such a text would need to take into account that few undergraduates can

  20. ARTIFICIAL INTELLIGENCE Learning to see and act

    E-Print Network [OSTI]

    Meeden, Lisa A.

    ARTIFICIAL INTELLIGENCE Learning to see and act An artificial-intelligence system uses machine to process large amounts of data have led to progress in many areas of science, not least artificial intelligence (AI). With advances in machine learning has come the development of machines that can learn

  1. MASSACHUSETTS INSTITUTE OF TECHNOLOGY ARTIFICIAL INTELLIGENCE LABORATORY

    E-Print Network [OSTI]

    Poggio, Tomaso

    MASSACHUSETTS INSTITUTE OF TECHNOLOGY ARTIFICIAL INTELLIGENCE LABORATORY A.I. Memo No. 1537 of Technology, 1995 This report describes research done at the Artificial Intelligence Laboratory and within Science Foundation under contract ASC­9217041. Support for the A.I. Laboratory's artificial intelligence

  2. MASSACHUSETTS INSTITUTE OF TECHNOLOGY ARTIFICIAL INTELLIGENCE LABORATORY

    E-Print Network [OSTI]

    Poggio, Tomaso

    MASSACHUSETTS INSTITUTE OF TECHNOLOGY ARTIFICIAL INTELLIGENCE LABORATORY A.I. Memo No. 1611 June and Cognitive Sciences, the Center for Biological and Computational Learning and the Artificial Intelligence Laboratory of the Massachusetts Institute of Technology. Support for the artificial intelligence research

  3. MASSACHUSETTS INSTITUTE OF TECHNOLOGY ARTIFICIAL INTELLIGENCE LABORATORY

    E-Print Network [OSTI]

    Scassellati, Brian

    February, 1999 A Binocular, Foveated Active Vision System Brian Scassellati MIT Artificial Intelligence Lab project at the MIT Artificial Intelligence Laboratory. The ac- tive vision system features a 3 degreeMASSACHUSETTS INSTITUTE OF TECHNOLOGY ARTIFICIAL INTELLIGENCE LABORATORY A.I. Memo No. 1628

  4. Artificial general intelligence: an organism and level based position

    E-Print Network [OSTI]

    Smith, Leslie S.

    Artificial general intelligence: an organism and level based position statement Leslie S. SMITH 1. Keywords. artificial general intelligence, brain model, paramecium, level interaction Introduction There are many views of what should be described as artificial general intelligence. Gen- eral intelligence

  5. Teaching Artificial Intelligence in Introductory Cognitive Science Courses

    E-Print Network [OSTI]

    Bustamante, Fabián E.

    Teaching Artificial Intelligence in Introductory Cognitive Science Courses Sara Owsley Sood Pomona of Artificial Intelligence and Cognitive Science is the question "What is intelligence?" The answer of topics and resources intended for use in teaching artificial intelligence in the confines

  6. Artificial Intelligence through the eyes of Organised Sound

    E-Print Network [OSTI]

    Miranda, Eduardo Reck

    Artificial Intelligence through the eyes of Organised Sound Eduardo Miranda Keywords: Artificial Intelligence, symbolic and artificial life approaches, algorithmic composition Abstract Artificial intelligence is a rich and still-developing field with many musical applications

  7. MASSACHUSETTS INSTITUTE OF TECHNOLOGY ARTIFICIAL INTELLIGENCE LABORATORY

    E-Print Network [OSTI]

    Poggio, Tomaso

    MASSACHUSETTS INSTITUTE OF TECHNOLOGY ARTIFICIAL INTELLIGENCE LABORATORY and CENTER FOR BIOLOGICAL in the Department of Brain and Cognitive Sciences and in the Artificial Intelligence Laboratory at the Massachusetts, which is likely to play a significant role in eventually making intelligent machines. Not surprisingly

  8. Research Article Artificial Intelligence in Video Games

    E-Print Network [OSTI]

    Ernst, Damien

    Research Article Artificial Intelligence in Video Games: Towards a Unified Framework Firas Safadi artificial intelligence (AI) is a broad notion in video games, it is important to start by defining the scope human intelligence. On the other hand, AI is usually independently designed for each game. This makes

  9. Introduction to Artificial Intelligence Neural Networks

    E-Print Network [OSTI]

    Qu, Rong

    Introduction to Artificial Intelligence (G51IAI) Dr Rong Qu Neural Networks #12;G51IAI ­ Introduction to AI Neural Networks Chapter 20 ­ Artificial Intelligence : A Modern Approach (AIMA) Russell ­ Introduction to AI Neural Networks More precisely: Artificial Neural Networks Simulating, on a computer, what

  10. MASSACHUSETTS INSTITUTE OF TECHNOLOGY ARTIFICIAL INTELLIGENCE LABORATORY

    E-Print Network [OSTI]

    Poggio, Tomaso

    MASSACHUSETTS INSTITUTE OF TECHNOLOGY ARTIFICIAL INTELLIGENCE LABORATORY A.I. Memo No. 1536 Institute of Technology, 1995 This report describes research done at the Artificial Intelligence Laboratory the National Science Foundation under contract ASC­9217041. Support for the A.I. Laboratory's artificial

  11. MASSACHUSETTS INSTITUTE OF TECHNOLOGY ARTIFICIAL INTELLIGENCE LABORATORY

    E-Print Network [OSTI]

    Poggio, Tomaso

    MASSACHUSETTS INSTITUTE OF TECHNOLOGY ARTIFICIAL INTELLIGENCE LABORATORY and CENTER FOR BIOLOGICAL by a grant from the NSF (ASC--9217041). Support for the laboratory's artificial intelligence research. of Brain and Cognitive Sciences, the Center for Biological and Computational Learning, and the Artificial

  12. Achieving Artificial Intelligence through Building Robots

    E-Print Network [OSTI]

    Brooks, Rodney A.

    1986-05-01

    We argue that generally accepted methodologies of Artificial Intelligence research are limited in the proportion of human level intelligence they can be expected to emulate. We argue that the currently accepted ...

  13. Ben Goertzel, Pascal Hitzler, Marcus Hutter (Editors) Artificial General Intelligence

    E-Print Network [OSTI]

    Hutter, Marcus

    #12;Ben Goertzel, Pascal Hitzler, Marcus Hutter (Editors) Artificial General Intelligence Proceedings of the Second Conference on Artificial General Intelligence, AGI 2009, Arlington, Virginia, USA ________________________________________________________________________ #12;Artificial General Intelligence Volume Editors Ben Goertzel Novamente & Biomind LLC 1405 Bernerd

  14. Eric Baum, Marcus Hutter, Emanuel Kitzelmann (Editors) Artificial General Intelligence

    E-Print Network [OSTI]

    Hutter, Marcus

    #12; Eric Baum, Marcus Hutter, Emanuel Kitzelmann (Editors) Artificial General Intelligence Proceedings of the Third Conference on Artificial General Intelligence, AGI 2010, Lugano, Switzerland, March 5 of the first mathematical theory of Optimal Universal Artificial Intelligence. Ray intended to deliver

  15. Artificial General Intelligence and the Future of the Human Race

    E-Print Network [OSTI]

    Pavlacka, Bryon

    2012-01-01

    Institute for Artificial Intelligence [SIAI], 2001, para.Institute for Artificial Intelligence [SIAI], 2001, para.I ssue 2 • 1 B S J Artificial Intelligence is all around us.

  16. MASSACHUSETTS INSTITUTE OF TECHNOLOGY ARTIFICIAL INTELLIGENCE LABORATORY

    E-Print Network [OSTI]

    Poggio, Tomaso

    MASSACHUSETTS INSTITUTE OF TECHNOLOGY ARTIFICIAL INTELLIGENCE LABORATORY A.I. Memo No. 1570 August fl Massachusetts Institute of Technology, 1996 This report describes research done at the Artificial Intelligence Laboratory of the Massachusetts Institute of Technology. Support for this research was provided

  17. MASSACHUSETTS INSTITUTE OF TECHNOLOGY ARTIFICIAL INTELLIGENCE LABORATORY

    E-Print Network [OSTI]

    Koch, Christof

    MASSACHUSETTS INSTITUTE OF TECHNOLOGY ARTIFICIAL INTELLIGENCE LABORATORY and CENTER FOR BIOLOGICAL of Technology within the Artificial Intelligence Laboratory and the Center for Biological Information Processing is the sluggish time course of the electrical signals in the very early stages of vision compared with our quick

  18. MASSACHUSETTS INSTITUTE OF TECHNOLOGY ARTIFICIAL INTELLIGENCE LABORATORY

    E-Print Network [OSTI]

    Poggio, Tomaso

    MASSACHUSETTS INSTITUTE OF TECHNOLOGY ARTIFICIAL INTELLIGENCE LABORATORY and CENTER FOR BIOLOGICAL in the Department of Brain and Cognitive Sciences and in the Artificial Intelligence Laboratory at the Massachusetts of antique cars. Computer vision is well on its way to solve restricted versions of the problem of object

  19. MASSACHUSETTS INSTITUTE OF TECHNOLOGY ARTIFICIAL INTELLIGENCE LABORATORY

    E-Print Network [OSTI]

    Portland State University

    MASSACHUSETTS INSTITUTE OF TECHNOLOGY ARTIFICIAL INTELLIGENCE LABORATORY A.I. Memo No. 1293 April, 1991 Intelligence Without Reason Rodney A. BrooksPrepared for Computers and Thought, IJCAI-91 Abstract Computers and Thought are the two categories that together de ne Arti cial Intelligence as a discipline

  20. MASSACHUSETTS INSTITUTE OF TECHNOLOGY ARTIFICIAL INTELLIGENCE LABORATORY

    E-Print Network [OSTI]

    Portland State University

    MASSACHUSETTS INSTITUTE OF TECHNOLOGY ARTIFICIAL INTELLIGENCE LABORATORY A.I. Memo No. 1439 August to fundamentally change the way arti cial intelligence, cognitive science, linguistics, and philosophy think about the organization of intelligence. We expect to be able to better reconcile the theories that will be developed

  1. General Shape Grammar Interpreter for Intelligent Designs Generations Artificial Intelligence Research Institute

    E-Print Network [OSTI]

    Rodríguez, Inmaculada

    General Shape Grammar Interpreter for Intelligent Designs Generations T. Trescak Artificial@maia.ub.es M. Esteva Artificial Intelligence Research Institute Spanish Council for Scientific Research visualization and artificial intelligent technologies have motivated the evolution of traditional computer aided

  2. Artificial Intelligence for the Smart Grid

    E-Print Network [OSTI]

    Artificial Intelligence for the Smart Grid NICTA is developing technology to automate costs. The Future · Cover more of Smart Grid control (diagnosis, reconfiguration, protection, voltage) products for the Smart Grid. Contact Details: Technical Jussi Rintanen Canberra Research Laboratory Tel

  3. Quantization of Games: Towards Quantum Artificial Intelligence

    E-Print Network [OSTI]

    Katarzyna Miakisz; Edward W. Piotrowski; Jan Sladkowski

    2004-12-30

    On grounds of the discussed material, we reason about possible future development of quantum game theory and its impact on information processing and the emerging information society. The idea of quantum artificial intelligence is explained.

  4. Building Grounded Abstractions for Artificial Intelligence Programming

    E-Print Network [OSTI]

    Hearn, Robert A.

    2004-06-16

    Most Artificial Intelligence (AI) work can be characterized as either ``high-level'' (e.g., logical, symbolic) or ``low-level'' (e.g., connectionist networks, behavior-based robotics). Each approach suffers from particular ...

  5. Building the Second Mind: 1956 and the Origins of Artificial Intelligence Computing

    E-Print Network [OSTI]

    Skinner, Rebecca Elizabeth

    2012-01-01

    Expert Systems and Artificial Intelligence: Applications andExpert Systems and Artificial Intelligence: Applications andThe Man-Machine and Artificial Intelligence”, in Franchi and

  6. Building the Second Mind: 1956 and the Origins of Artificial Intelligence Computing

    E-Print Network [OSTI]

    Skinner, Rebecca Elizabeth

    2012-01-01

    The Handbook of Artificial Intelligence. Volumes 1-3. LosThe Handbook of Artificial Intelligence. Volume IV. MenloIntroduction to Artificial Intelligence. Reading, MA:

  7. Publications of the Finnish Artificial Intelligence Society -23 New Developments in Artificial

    E-Print Network [OSTI]

    Hyvönen, Eero

    Publications of the Finnish Artificial Intelligence Society - 23 New Developments in Artificial Intelligence and the Semantic Web Proceedings of the 12th Finnish Artificial Intelligence Conference STeP 2006 Kauppinen, Jukka Kortela, Mikko Laukkanen, Tapani Raiko, and Kim Viljanen Finnish Artificial Intelligence

  8. Emotional Computation in Artificial Intelligence Education Sara Owsley Sood

    E-Print Network [OSTI]

    Bustamante, Fabián E.

    Emotional Computation in Artificial Intelligence Education Sara Owsley Sood Department of Computer of work towards creating artificial intelligence, some researchers are now attempting to create machines that are emotionally intelligent. The standard definition of artificial intelligence is the ability for a machine

  9. Test and Evaluation Challenges of Embodied Artificial Intelligence and Robotics

    E-Print Network [OSTI]

    MacLennan, Bruce

    Test and Evaluation Challenges of Embodied Artificial Intelligence and Robotics Technical Report UT science, artificial intelligence (AI), and robotics promise a new generation of intelligent agents is an unedited draft of "Challenges of Embodied Artificial Intelligence and Robotics," an article invited

  10. One Decade of Universal Artificial Intelligence Marcus Hutter

    E-Print Network [OSTI]

    Hutter, Marcus

    One Decade of Universal Artificial Intelligence Marcus Hutter RSCS @ ANU and SML @ NICTA Canberra artificial intelligence. This theory of Universal Artifi- cial Intelligence (UAI) has made significant that the grand goal of Artificial General Intelligence is not elusive. This article provides an informal overview

  11. Simon Holland 1 Artificial Intelligence in music education: a critical review Artificial Intelligence in music education: a critical review

    E-Print Network [OSTI]

    Holland, Simon

    © Simon Holland 1 Artificial Intelligence in music education: a critical review Artificial Intelligence in Music Education: a critical review. In Miranda, E. (ed.) Readings in Music and Artificial This paper reviews the principal approaches to using Artificial Intelligence in Music Education. Music

  12. Experimental Realization of Quantum Artificial Intelligence

    E-Print Network [OSTI]

    Li Zhaokai; Liu Xiaomei; Xu Nanyang; Du jiangfeng

    2014-10-04

    Machines are possible to have some artificial intelligence like human beings owing to particular algorithms or software. Such machines could learn knowledge from what people taught them and do works according to the knowledge. In practical learning cases, the data is often extremely complicated and large, thus classical learning machines often need huge computational resources. Quantum machine learning algorithm, on the other hand, could be exponentially faster than classical machines using quantum parallelism. Here, we demonstrate a quantum machine learning algorithm on a four-qubit NMR test bench to solve an optical character recognition problem, also known as the handwriting recognition. The quantum machine learns standard character fonts and then recognize handwritten characters from a set with two candidates. To our best knowledge, this is the first artificial intelligence realized on a quantum processor. Due to the widespreading importance of artificial intelligence and its tremendous consuming of computational resources, quantum speedup would be extremely attractive against the challenges from the Big Data.

  13. Artificial Intelligence Design for Real-time Strategy Games

    E-Print Network [OSTI]

    Ernst, Damien

    Artificial Intelligence Design for Real-time Strategy Games Firas Safadi University of Li been challenging intelligence, human and artificial (AI) alike, as one of the top genre in terms

  14. massachusetts institute of technology --artificial intelligence laboratory Intelligent Market-Making in

    E-Print Network [OSTI]

    Poggio, Tomaso

    @ MIT massachusetts institute of technology -- artificial intelligence laboratory Intelligent , m a 0 2 1 3 9 u s a -- w w w. a i . m i t . e d u #12;#12;Intelligent Market-Making in Artificial on Graduate Students #12;Intelligent Market-Making in Artificial Financial Markets by Sanmay Das Submitted

  15. AI 1 Introductory Notes. Page 1 Artificial Intelligence I

    E-Print Network [OSTI]

    Huntbach, Matthew

    AI 1 Introductory Notes. Page 1 Artificial Intelligence I Matthew Huntbach, Dept of Computer.J.M.Bench-Capon Knowledge Representation: An Approach to Artificial Intelligence Academic Press (1990). A little simplistic, but short and not over-technical. Covers roughly the same material as will be in the Artificial Intelligence

  16. MIT Computer Science & Artificial Intelligence Laboratory The Choices We Make

    E-Print Network [OSTI]

    Durand, Frédo

    MIT Computer Science & Artificial Intelligence Laboratory The Choices We Make Frédo Durand MIT CSAIL #12;MIT Computer Science & Artificial Intelligence Laboratory Introduction · My background ­ Math Computer Science & Artificial Intelligence Laboratory Introduction · I don't build tools, I am an academic

  17. ARTIFICIAL INTELLIGENCE 223 A Geometric Approach to Error

    E-Print Network [OSTI]

    Richardson, David

    ARTIFICIAL INTELLIGENCE 223 A Geometric Approach to Error Detection and Recovery for Robot Motion, and uncertainty in the geometric * This report describes research done at the Artificial Intelligence Laboratory of the Massach- usetts Institute of Technology. Support for the Laboratory's Artificial Intelligence research

  18. Artificial Intelligence 120 (2000) 2942 Optimal auctions revisited 6

    E-Print Network [OSTI]

    Monderer, Dov

    2000-01-01

    Artificial Intelligence 120 (2000) 29­42 Optimal auctions revisited 6 Dov Monderer , Moshe. Tennenholtz / Artificial Intelligence 120 (2000) 29­42 game theory [5]. In particular, the design of protocols aspects of multi-agent activity in Artificial Intelligence has grown rapidly in the recent years. Work

  19. Artificial Intelligence and Intrusion Detection: Current and Future Jeremy Frank

    E-Print Network [OSTI]

    Yoo, S. J. Ben

    Artificial Intelligence and Intrusion Detection: Current and Future Directions Jeremy Frank frank. Artificial Intelligence techniques can reduce the human effort required to build these systems and can data. We survey uses of artificial intelligence methods in ID, and present an example using feature

  20. Readings for Artificial Intelligence CS63 Fall 2007

    E-Print Network [OSTI]

    Meeden, Lisa A.

    Readings for Artificial Intelligence CS63 Fall 2007 1. A proposal for the Dartmouth Summer Research Project on Artificial Intelligence, John McCarthy, Marvin Minsky, Nathaniel Rochester, and Claude Shannon Norvig (2003). Chapter 3 from Artificial Intelligence: A modern approach, Second edition, Prentice Hall

  1. Artificial Intelligence in the Factory of the Future

    E-Print Network [OSTI]

    Fox, Mark S.

    Artificial Intelligence in the Factory of the Future Ma rk S. Fox Intelligent Systems Laboratory goal to explore the application of artificial intelligence to mansgerial and professional problems,tk:s Institute of Carnegie-Mellon University. IMS is a long term project concerned with applying artificial

  2. Artificial Intelligence for Engineering Design, Analysis and Manufacturing

    E-Print Network [OSTI]

    Yang, Maria

    Artificial Intelligence for Engineering Design, Analysis and Manufacturing http://journals.cambridge.org/AIE Additional services for Artificial Intelligence for Engineering Design, Analysis and Manufacturing: EmailNoël Demaret, Maria C. Yang and Pierre Leclercq Artificial Intelligence for Engineering Design, Analysis

  3. ARTIFICIAL INTELLIGENCE Irish Al research pushes onto international stage

    E-Print Network [OSTI]

    Foley, Simon

    ARTIFICIAL INTELLIGENCE Irish Al research pushes onto international stage Since 2001, when 4C into the international league in terms of artificial intelligence and constraints programming. The 4C centre (Cork this quarter. Four papers were accepted by the American Association for Artificial Intelligence Conference

  4. Engineering Applications of Artificial Intelligence 16 (2003) 237250 Hierarchical decision making for proactive quality control: system

    E-Print Network [OSTI]

    Huang, Yinlun

    2003-01-01

    Engineering Applications of Artificial Intelligence 16 (2003) 237­250 Hierarchical decision making by resorting to artificial intelligence and engineering fundamentals. The approach is developed for solving control; Intelligent decision support; Artificial intelligence; Fuzzy logic; Automotive coating 1

  5. Title: Affective Artificial Intelligence for loving robots By Professor Hooman Samani, NTPU, Taiwan

    E-Print Network [OSTI]

    Chen, Chaur-Chin

    Title: Affective Artificial Intelligence for loving robots By Professor Hooman Samani, NTPU, Taiwan advanced artificial intelligence system of Lovotics includes an Artificial Endocrine System (based (based on emotions) modules. Psychological unit of the Lovotics artificial intelligence calculates

  6. Alan Turing and the development of Artificial Intelligence

    E-Print Network [OSTI]

    Muggleton, Stephen H.

    1 Alan Turing and the development of Artificial Intelligence Stephen Muggleton , During the centennial year of his birth Alan Turing (1912-1954) has been widely celebrated as having laid the paper. Keywords: Alan Turing, Artificial Intelligence, Ma- chine Intelligence 1. Introduction

  7. SPE-169507-MS Artificial Intelligence (AI) Assisted History Matching

    E-Print Network [OSTI]

    Mohaghegh, Shahab

    SPE-169507-MS Artificial Intelligence (AI) Assisted History Matching Alireza Shahkarami, Shahab D a successful history matching project. The pattern recognition capabilities of Artificial Intelligence and Data the history matching process. SRM is an intelligent prototype of the full-field reservoir simulation model

  8. Projective simulation for artificial intelligence

    E-Print Network [OSTI]

    Hans J. Briegel; Gemma De las Cuevas

    2013-02-08

    We propose a model of a learning agent whose interaction with the environment is governed by a simulation-based projection, which allows the agent to project itself into future situations before it takes real action. Projective simulation is based on a random walk through a network of clips, which are elementary patches of episodic memory. The network of clips changes dynamically, both due to new perceptual input and due to certain compositional principles of the simulation process. During simulation, the clips are screened for specific features which trigger factual action of the agent. The scheme is different from other, computational, notions of simulation, and it provides a new element in an embodied cognitive science approach to intelligent action and learning. Our model provides a natural route for generalization to quantum-mechanical operation and connects the fields of reinforcement learning and quantum computation.

  9. Artificial Intelligence, Language and the Study of Knowledge

    E-Print Network [OSTI]

    Goldstein, Ira

    1975-07-01

    This paper studies the relationship of Artificial Intelligence to the study of language and the representation of the underlying knowledge which supports the comprehension process. It develops the view that intelligence ...

  10. Collective artificial intelligence : simulated role-playing from crowdsourced data

    E-Print Network [OSTI]

    Orkin, Jeffrey David

    2013-01-01

    Collective Artificial Intelligence (CAl) simulates human intelligence from data contributed by many humans, mined for inter-related patterns. This thesis applies CAI to social role-playing, introducing an end-to-end process ...

  11. Lecturer: Amir Globerson Computer Science and Artificial Intelligence Laboratory, MIT

    E-Print Network [OSTI]

    Barash, Danny

    Lecturer: Amir Globerson Computer Science and Artificial Intelligence Laboratory, MIT Title: Making in fields such as machine vision, natural language processing and computational biology. With the growing

  12. 7. Distributed AI D. Keil Artificial Intelligence 10/13 1D. Keil Artificial Intelligence 7. Distributed AI 10/13

    E-Print Network [OSTI]

    Keil, David M.

    7. Distributed AI D. Keil Artificial Intelligence 10/13 1D. Keil Artificial Intelligence 7. Distributed AI 10/13 David M. Keil, Framingham State University CSCI 400 Artificial Intelligence 7 might (a) NAO or (b) Siri operate as a member of a team or network? D. Keil Artificial Intelligence 7

  13. Artificial Intelligence: Math and CS background D. Keil 7/13 1D. Keil CSCI 300 Artificial Intelligence 7/13

    E-Print Network [OSTI]

    Keil, David M.

    Artificial Intelligence: Math and CS background D. Keil 7/13 1D. Keil CSCI 300 Artificial Intelligence 7/13 David Keil, Framingham State University CSCI 300 Artificial Intelligence Mathematical is a function? Examples? · What is inference? #12;Artificial Intelligence: Math and CS background D. Keil 7/13 D

  14. The Role of Artificial Intelligence in Software Engineering

    E-Print Network [OSTI]

    Harman, Mark

    The Role of Artificial Intelligence in Software Engineering Mark Harman CREST Centre, University in the application of Artificial Intelligence (AI) techniques to Software Engineering (SE) problems. The work is typified by recent advances in Search Based Software Engineering, but also by long established work

  15. Summary D. Keil Artificial Intelligence 7/13 David M. Keil

    E-Print Network [OSTI]

    Keil, David M.

    Summary D. Keil Artificial Intelligence 7/13 David M. Keil Framingham State University CSCI 300 Artificial Intelligence 1Special Topics: Artificial Intelligence 9. Summary 7/13D. Keil Summary Multi as part of a team 0f. Present results in the classroom 2Special Topics: Artificial Intelligence 9. Summary

  16. Proposal to ARPA for Research on Artificial Intelligence at M.I.T., 1971-1972

    E-Print Network [OSTI]

    Minsky, Marvin

    1971-10-01

    The activities of the Artificial Intelligence laboratory can be viewed under three main aspects; (1) Artificial Intelligence- understanding the principles of making intelligent machines along the lines discusses in ...

  17. The Artificial Intelligence (AI) program at the Univer-sity of Michigan comprises a multidisciplinary group

    E-Print Network [OSTI]

    Eustice, Ryan

    The Artificial Intelligence (AI) program at the Univer- sity of Michigan comprises in areas such as healthcare, electronic commerce, and finance. Artificial IntelligenceResearch Bob of intelligent systems. Current projects include research in rational deci- sion making, distributed systems

  18. Artificial Intelligence and The Many Faces of Reason 

    E-Print Network [OSTI]

    Clark, Andy

    2003-01-01

    I shall focus this discussion on one small thread in the increasingly complex weave of Artificial Intelligence and Philosophy of Mind: the attempt to explain how rational thought is mechanically possible. This is, historically, the crucial place...

  19. Injection Molding at the MIT Artificial Intelligence Lab

    E-Print Network [OSTI]

    Binnard, Michael

    1995-02-23

    This paper describes the injection molding equipment at the MIT Artificial Intelligence Lab and how to use it. Topic covered include mold design, insert molding, safety, and material properties.

  20. Encapsulating the meta-level knowledge in distributed artificial intelligence 

    E-Print Network [OSTI]

    Underbrink, Alvin Joseph

    1988-01-01

    ENCAPSULATING THE META-LEVEL KNOWLEDGE IN DISTRIBUTED ARTIFICIAL INTELLIGENCE A Thesis by ALVIN JOSEPH UNDERBRINK, JR. Submitted to the Graduate College of Texas AgcM University in partial fulfillment of the requirements for the degree... of MASTER OF SCIENCE December 1988 Major Subject: Computer Science EN CAP SULATING THE META-LEVEL KNOWLED GE IN DISTRIBUTED ARTIFICIAL INTELLIGENCE A Thesis by ALVIN JOSEPH UNDERBRINK, JR. Approved as to style and content by: &K &, ~ eni'- Donald...

  1. Use of artificial intelligence for process modeling and control 

    E-Print Network [OSTI]

    You, Yong

    1991-01-01

    USE OF ARTIFICIAL INTELLIGENCE FOR PROCESS MODELING AND CONTROL A Thesis by YONG YOU Submitted to the Office of Graduate Stuclies of Texas A&M University in partial fulffllment of the requirement for the degree of IvIASTER OF SCIENCE May... 1991 Major Subject: Chemical Engineering USE OF ARTIFICIAL INTELLIGENCE FOR PROCESS MODELING AND CONTROL A Thesis by YONG YOU Approved as to style and content by: Michael Nikolaou (Chair of Committee) Ralph E. White (Member) Alexande...

  2. or the artificial intelligence community, 2006 is a special year, for it was fifty years ago when, at Dartmouth College, the term "artificial intelligence" was first intro-

    E-Print Network [OSTI]

    Napp, Nils

    F or the artificial intelligence community, 2006 is a special year, for it was fifty years ago when, at Dartmouth College, the term "artificial intelligence" was first intro- duced as a topic for a summer on Artificial Intelligence, cele- brates the fifty years of growth and diversity of our field. It also includes

  3. Access via Science Online Site Pass ARTIFICIAL INTELLIGENCE

    E-Print Network [OSTI]

    Duckett, Tom

    Access via Science Online Site Pass ARTIFICIAL INTELLIGENCE: Autonomous Mental Development of an adult brain, such as vision, speech, and language. Nevertheless, these traditional approaches have." A Definition What is autonomous mental development? With time, a brainlike natural or an artificial embodied

  4. Computer Science and Artificial Intelligence Laboratory Technical Report

    E-Print Network [OSTI]

    Poggio, Tomaso

    Computer Science and Artificial Intelligence Laboratory Technical Report massachusetts institute is a penultimate draft. The final version was published as a chapter in Machine Learning for Computer Vision (2012. Abstract In recent years, scientific and technological advances have produced artificial systems that have

  5. Artificial Intelligence 170 (2006) 12511253 www.elsevier.com/locate/artint

    E-Print Network [OSTI]

    Spector, Lee

    2006-01-01

    Artificial Intelligence 170 (2006) 1251­1253 www.elsevier.com/locate/artint Evolution of artificial the nominal 1956 establishment of the field of artificial intelligence by centuries or, under some definitions of creating artificial intelligence would have to be something like the process of creating a waterwheel

  6. Artificial Intelligence, Story Generation and Literary Creativity: the State of the Art

    E-Print Network [OSTI]

    Bringsjord, Selmer

    Artificial Intelligence, Story Generation and Literary Creativity: the State of the Art Selmer, doing it. The result of our engineering is BRUTUS, an artificial storyteller who certainly appears

  7. Artificial Life, unlike artifical intelligence, had humble beginnings. In the case of the latter, when the word itself was born, the first breathtaking results were

    E-Print Network [OSTI]

    Karsai, Istvan

    Preface Artificial Life, unlike artifical intelligence, had humble beginnings. In the case intelligence comes up again. Artificial intelligence was conceptually based on "machine functionalism intelligence, and artificial intelligence was a computerized approach to the mind that was designed to capture

  8. LOGIC AND ARTIFICIAL INTELLIGENCE Grad Seminar, Spring '95, 66-6943, 66-4963, 48-6244

    E-Print Network [OSTI]

    Bringsjord, Selmer

    LOGIC AND ARTIFICIAL INTELLIGENCE Grad Seminar, Spring '95, 66-6943, 66 one required text, Logical Foundations of Artificial Intelligence, by Genesereth and Nilsson (= G

  9. Computers for artificial intelligence a technology assessment and forecast

    SciTech Connect (OSTI)

    Miller, R.K.

    1986-01-01

    This study reviews the development and current state-of-the-art in computers for artificial intelligence, including LISP machines, AI workstations, professional and engineering workstations, minicomputers, mainframes, and supercomputers. Major computer systems for AI applications are reviewed. The use of personal computers for expert system development is discussed, and AI software for the IBM PC, Texas Instrument Professional Computer, and Apple MacIntosh is presented. Current research aimed at developing a new computer for artificial intelligence is described, and future technological developments are discussed.

  10. International Journal on Artificial Intelligence Tools c World Scientific Publishing Company

    E-Print Network [OSTI]

    Gustafsson, Torgny

    International Journal on Artificial Intelligence Tools c World Scientific Publishing Company: Intelligent tutoring systems; constraint propagation; units 1. Introduction In teaching problem solving, Intelligent Tutoring Systems (ITS) often employ a rigid and explicit framework to guide the student along

  11. TUTORIAL: International Conference on Artificial Intelligence in Education 2009 Categorisation and Educational Benefits of

    E-Print Network [OSTI]

    Bull, Susan

    TUTORIAL: International Conference on Artificial Intelligence in Education 2009 Categorisation that are part of a full artificial intelligence in education system, and independent open learner models (where Framework. International Journal of Artificial Intelligence in Education 17(1), 89-120. #12;

  12. 5. Supervised learning D. Keil Artificial Intelligence 7/13 David Keil, Framingham State University

    E-Print Network [OSTI]

    Keil, David M.

    5. Supervised learning D. Keil Artificial Intelligence 7/13 David Keil, Framingham State University CSCI 300 Artificial Intelligence 5. Supervised learning and natural language 1. Supervised learning 2-language processing 1D. Keil Artificial Intelligence 5. Supervised learning 7/13 Inquiry · How do you learn ­facts

  13. A Client-Server Computational Tool for Integrated Artificial Intelligence Curriculum

    E-Print Network [OSTI]

    Holder, Lawrence B.

    A Client-Server Computational Tool for Integrated Artificial Intelligence Curriculum Lawrence B;2 ABSTRACT The goal of this project is to increase students' interest in Artificial Intelligence, as well environment. In this paper we describe the multimedia approach to teaching Artificial Intelligence classes

  14. Mathematics and AI NEU Math Circle, April 1, 2007, Oliver Knill Artificial intelligence

    E-Print Network [OSTI]

    Knill, Oliver

    Mathematics and AI NEU Math Circle, April 1, 2007, Oliver Knill Artificial intelligence Can are some problems types in artificial intelligence. Most of them are purely mathematical: · problem solving global warming, epidemics, supplies Moral: The field of artificial intelligence is extremely wide

  15. Building Computational Agents using Neuronal Networks, Schema Theory and Artificial Intelligence1

    E-Print Network [OSTI]

    Weitzenfeld, Alfredo

    Building Computational Agents using Neuronal Networks, Schema Theory and Artificial Intelligence1 that the technology developed in our research fields (e.g., Computational Neurosci- ence, Artificial Intelligence Artificial Intelligence, and in Behavior-Based Robotics [1][2][3], in particular, when the aim is to build

  16. Sediment Dynamics Simulation via Cellular Automata Artificial Intelligence -SYNOPSIS 1.0 Dr. Juan M. Restrepo

    E-Print Network [OSTI]

    Fatkullin, Ibrahim

    Sediment Dynamics Simulation via Cellular Automata Artificial Intelligence - SYNOPSIS 1.0 Dr. Juan dynamics and artificial intelligence. Sediment Dynamics Sediment dynamics is the physics of sedimentary's work, and proved to be quite a task indeed. Artificial Intelligence Because this research project

  17. Affective Issues in the Search for Artificial Intelligence By Jason Aughenbaugh

    E-Print Network [OSTI]

    Affective Issues in the Search for Artificial Intelligence By Jason Aughenbaugh Jma;1 Recent studies in robotics, artificial intelligence, and the emerging field of affective computing have, but such endeavors into artificial intelligence, or AI, have until recently only yielded computers with specialized

  18. Artificial Intelligence 117 (2000) 277296 On agent-based software engineering $

    E-Print Network [OSTI]

    Tesfatsion, Leigh

    2000-01-01

    Artificial Intelligence 117 (2000) 277­296 On agent-based software engineering $ Nicholas R both for Artificial Intelligence (AI) and, more generally, Computer Science. It has the potential lecture that was delivered at the Sixteenth International Joint Conference on Artificial Intelligence

  19. for ISMIS91 The Roles of Artificial Intelligence in Information Systems

    E-Print Network [OSTI]

    Wiederhold, Gio

    1 for ISMIS­91 The Roles of Artificial Intelligence in Information Systems Gio Wiederhold Stanford are suitable for artificial intelligence approaches we outline an architectural structure for large systems. In that structure processing modules become specialized. We argue that artificial intelligence programs should

  20. Introduction D, Keil Artificial Intelligence 7/13 David Keil, Framingham State University

    E-Print Network [OSTI]

    Keil, David M.

    Introduction D, Keil Artificial Intelligence 7/13 David Keil, Framingham State University CSCI 300 Artificial Intelligence Introduction 1. What this course offers 2. Course plan 3. How the course delivers 1D. Keil CSCI 300 Artificial Intelligence 7/13 Invitation · Would you like to explore the limits

  1. Unifying Undergraduate Artificial Intelligence Robotics: Layers Of Abstraction Over Two Channels

    E-Print Network [OSTI]

    Crabbe, Frederick

    Unifying Undergraduate Artificial Intelligence Robotics: Layers Of Abstraction Over Two Channels Annapolis, Maryland 21402 Abstract From a Computer Science and Artificial Intelligence perspec- tive to undergraduates. The paper presents an alternative synthesis of the various sub-fields of Artificial Intelligence

  2. Artificial Intelligence 171 (2007) 365377 www.elsevier.com/locate/artint

    E-Print Network [OSTI]

    Tesfatsion, Leigh

    2007-01-01

    Artificial Intelligence 171 (2007) 365­377 www.elsevier.com/locate/artint If multi-agent learning, and at least two books ([20] and [54]). In Artificial Intelligence (AI) the history of single-agent learning. / Artificial Intelligence 171 (2007) 365­377 something of a vengeance. If in 2003 one could describe the AI

  3. HighLevel Perception, Representation, and Analogy: A Critique of Artificial Intelligence Methodology

    E-Print Network [OSTI]

    Indiana University

    High­Level Perception, Representation, and Analogy: A Critique of Artificial Intelligence of Experimental and Theoretical Artificial Intelligence. #12; High­Level Perception, Representation, and Analogy: A Critique of Artificial Intelligence Methodology Abstract High­level perception---the process of making

  4. 4. Uncertainty D. Keil Artificial Intelligence 7/13 David Keil, Framingham State University

    E-Print Network [OSTI]

    Keil, David M.

    4. Uncertainty D. Keil Artificial Intelligence 7/13 David Keil, Framingham State University CSCI 300 Artificial Intelligence 4. Uncertainty and belief 1. Acting under uncertainty 2. Probability CSCI 300 Artificial Intelligence 4. Uncertainty 7/13 Inquiry · Is probabilistic reasoning part

  5. Artificial Intelligence 173 (2009) 240257 Contents lists available at ScienceDirect

    E-Print Network [OSTI]

    Nie, Qing

    2009-01-01

    Artificial Intelligence 173 (2009) 240­257 Contents lists available at ScienceDirect Artificial.V. All rights reserved. doi:10.1016/j.artint.2008.11.002 #12;Y. Zhou et al. / Artificial Intelligence 173 Intelligence www.elsevier.com/locate/artint A comparative runtime analysis of heuristic algorithms

  6. Artificial Intelligence 148 (2003) 1152 www.elsevier.com/locate/artint

    E-Print Network [OSTI]

    St Andrews, University of

    2003-01-01

    Artificial Intelligence 148 (2003) 11­52 www.elsevier.com/locate/artint Fuzzy rrDFCSP and planning in revised form 1 September 2002 Abstract Constraint satisfaction is a fundamental Artificial Intelligence-3702(03)00020-1 #12;12 I. Miguel, Q. Shen / Artificial Intelligence 148 (2003) 11­52 combinations. The following

  7. Annals of Mathematics and Artificial Intelligence 28 (2000) 1720 17 Perspectives

    E-Print Network [OSTI]

    Greenberg, Harvey J.

    2000-01-01

    Annals of Mathematics and Artificial Intelligence 28 (2000) 17­20 17 Perspectives A prospective on mathematics and artificial intelligence: Problem solving = Modeling + Theorem proving Harvey J. Greenberg and artificial intelligence that I see as having been the most important over the past 10 years and that I think

  8. Alan Turing and the development of Artificial Intelligence

    E-Print Network [OSTI]

    Muggleton, Stephen H.

    Alan Turing and the development of Artificial Intelligence Stephen Muggleton Department of the early work of Alan Turing which pre-dated his paper in Mind [42]. 1.1 Early work of Computing, Imperial College London December 19, 2012 Abstract During the centennial year of his birth Alan

  9. Introduction to Artificial Intelligence An Introduction to Data Mining

    E-Print Network [OSTI]

    Qu, Rong

    Introduction to Artificial Intelligence G51IAI An Introduction to Data Mining #12; Introduce a range of data mining techniques used in AI systems including : · Neural networks · Decision trees · ... Present some real life data mining applications. 2 Learning Objectives Dr Rong Qu G51IAI ­ Data Mining #12

  10. Foundations of Artificial Intelligence Introduction to Data Mining

    E-Print Network [OSTI]

    Qu, Rong

    Foundations of Artificial Intelligence Introduction to Data Mining #12;Data Mining Objectives Introduce a range of data mining techniques used in AI systems including : · Neural networks · Decision trees · ... Present some real life data mining applications. Student should gain the knowledge on how

  11. Scripted Artificially Intelligent Basic Online Tactical Simulation Jesse D. Phillips+

    E-Print Network [OSTI]

    Dascalu, Sergiu

    Scripted Artificially Intelligent Basic Online Tactical Simulation Jesse D. Phillips+ Roger V.+ Department of Computer Science and Engineering+ CAVCaM University of Nevada, Reno Desert Research Institute of the concepts. This paper presents details of the idea, specification, design, and functionality of the Scripted

  12. ARTIFICIAL INTELLIGENCE 121 Interpreting Pictures of Polyhedral Scenes*

    E-Print Network [OSTI]

    Mackworth, Alan K.

    ARTIFICIAL INTELLIGENCE 121 Interpreting Pictures of Polyhedral Scenes* A. K. Mackworth Laboratory of predetermined interpretations of particular categories of picture junctions and corners. 1. Introduction One way to capture the meaning of pictures is to investigate the relationship between two domains: the picture

  13. Artificial Intelligence and Literary Creativity Inside the Mind of Brutus, a Storytelling Machine

    E-Print Network [OSTI]

    Bringsjord, Selmer

    Artificial Intelligence and Literary Creativity Inside the Mind of Brutus, a Storytelling Machine Artificial Intelligence for permission to use, in Chapter ??, parts of the paper "The Case Against AI From . . . . . . . . . . . . . . xvi How Do You Build an Artificial Author? . . . . . . . . . . . xxi Why Build an Artificial Author

  14. Applied Intelligence The International Journal of Artificial

    E-Print Network [OSTI]

    Potter, Don

    including pro- tecting crops from damage, avoiding heat stress on animals and humans, and in planning related to energy management. Current web-based artificial neural network (ANN) mod- els on the Automated, will cause the wa- ter vapor to condense into liquid water. The dew point is the saturation temperature

  15. Appears in Mason, C. (Ed.) The First International Workshop on AI and the Environment, International Joint Conference on Artificial Intelligence, Montreal, Canada, 1995.

    E-Print Network [OSTI]

    Lieberman, Henry

    , International Joint Conference on Artificial Intelligence, Montreal, Canada, 1995. Copyright 1995 Cindy Mason Conference on Artificial Intelligence, the Canadian Society for Computational Studies of Intelligence, the American Meterological Society, the American Association of Artificial Intelligence, Henry Lieberman

  16. Extending the Scope of the Student Model Dept. of Artificial Intelligence

    E-Print Network [OSTI]

    Bull, Susan

    Extending the Scope of the Student Model Susan Bull Dept. of Artificial Intelligence University University Lancaster LA1 4YR Helen Pain Dept. of Artificial Intelligence University of Edinburgh 80 South material. As an example of this approach we describe the student model of an intelligent computer assisted

  17. Intentionality, Artificial Intelligence and the Causal Powers of the Brain

    E-Print Network [OSTI]

    Whitmer, Jeffrey M.

    Intentionality, Artificial Intelligence and the Causal Powers of the Brain Jeffrey M. Whitmer Northern Illinois University It seems to be a common belief that in the future, if not in the present, digital computers are going to be capable... of cognitive states, experiences, and con­ sciousness equal in every respect to that which exists in human beings. 1 Not everyone, however, is so optimistic. One such skeptic is John Searle and his "Minds, Brains, and Programs" 2 represents a direct con...

  18. Artificial Intelligence Review 12: 393427, 1998. 393 c 1998 Kluwer Academic Publishers. Printed in the Netherlands.

    E-Print Network [OSTI]

    Chater, Nick

    Artificial Intelligence Review 12: 393­427, 1998. 393 c 1998 Kluwer Academic Publishers. Printed a psychological and a CBR perspective. Key words: Artificial Intelligence and Law, case-based reasoning, exemplar and psychological research, focussing on similarity in human and artificial case-based reasoning in law. We argue

  19. To appear in: Embodied Artificial Intelligence (2004) Springer-Verlag Removing some `A' from AI

    E-Print Network [OSTI]

    2004-01-01

    To appear in: Embodied Artificial Intelligence (2004) Springer-Verlag Removing some `A' from AI://www.ece.gatech.edu/research/neuro/ #12;EMBODIED ARTIFICIAL INTELLIGENCE (pre-print) Springer-Verlag 2 tissue and engineered systems. We to AI since the advent of the perceptron and consequent artificial neural networks, developed using

  20. Proposal to ARPA for Research on Artificial Intelligence at MIT, 1970-1971

    E-Print Network [OSTI]

    Minsky, Marvin

    1970-12-01

    The MIT Artificial Intelligence Project has a variety of goals all bound together by search for principles of intelligent behavior. Among our immediate goals are to develop systems with practical applications for: ...

  1. Automated Analysis of Protein NMR Assignments Using Methods from Artificial Intelligence

    E-Print Network [OSTI]

    Powers, Robert

    Automated Analysis of Protein NMR Assignments Using Methods from Artificial Intelligence Diane E correlation spectrum. The software Abbreviations used: AI, arti®cial intelligence; Csp A, major cold shock

  2. Artificial Intelligence, Story Generation and Literary Creativity: the State of the Art

    E-Print Network [OSTI]

    Bringsjord, Selmer

    Artificial Intelligence, Story Generation and Literary Creativity: the State of the Art this engineering would be like, by, in part, doing it. The result of our engineering is BRUTUS, an artificial

  3. American Association for Artificial Intelligence Spring Symposium 3/2004, Stanford University Keynote Lecture. FFrroomm HHuummaann EEmmoottiioonnss ttoo RRoobboott EEmmoottiioonnss

    E-Print Network [OSTI]

    Fellous, Jean-Marc

    1 American Association for Artificial Intelligence ­ Spring Symposium 3/2004, Stanford University © 2004, American Association for Artificial Intelligence (www.aaai.org). All rights reserved. open a new

  4. Intelligent Market-Making in Artificial Financial A.B. Computer Science

    E-Print Network [OSTI]

    Poggio, Tomaso

    Intelligent Market-Making in Artificial Financial Markets by Sanmay Das A.B. Computer Science by . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Arthur C. Smith Chairman, Department Committee on Graduate Students #12;2 #12;Intelligent Market-Making in Artificial Financial Markets by Sanmay Das Submitted to the Department of Electrical Engineering and Computer

  5. Artificial Markets and Intelligent Agents S.B. Massachusetts Institute of Technology (1995)

    E-Print Network [OSTI]

    Poggio, Tomaso

    1995-01-01

    Artificial Markets and Intelligent Agents by Tung Chan S.B. Massachusetts Institute of Technology. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Arthur C. Smith Chairman, Departmental Committee on Graduate Students #12;#12;Artificial Markets and Intelligent Agents by Tung Chan Submitted to the Department of Electrical Engineering and Computer Science

  6. PREPRINT, published in International Journal of Pattern Recognition and Artificial Intelligence,

    E-Print Network [OSTI]

    Würtz, Rolf P.

    PREPRINT, published in International Journal of Pattern Recognition and Artificial Intelligence. Similarly in computer vision, where the space in which tasks are performed is usually differ- ent from Recognition and Artificial Intelligence, Vol. 17, No. 7, pages 1279­1302 (2003) 1280 Tino Lourens and Rolf P

  7. Distributed Artificial Intelligence, Vol. II Pitman-London Keith S. Decker, Edmund H. Durfee & Victor R. Lesser 1989

    E-Print Network [OSTI]

    Massachusetts at Amherst, University of

    Distributed Artificial Intelligence, Vol. II Pitman-London © Keith S. Decker, Edmund H. Durfee & Victor R. Lesser 1989 #12;Distributed Artificial Intelligence, Vol. II Pitman-London © Keith S. Decker, Edmund H. Durfee & Victor R. Lesser 1989 #12;Distributed Artificial Intelligence, Vol. II Pitman

  8. For release Tuesday, Dec. 16, at 0600 PST Stanford to host 100-year study on artificial intelligence

    E-Print Network [OSTI]

    Horvitz, Eric

    of artificial intelligence in all aspects of life. By Chris Cesare | Stanford Engineering Stanford University and anticipate how the effects of artificial intelligence will ripple through every aspect of how people work, live and play. This effort, called the One Hundred Year Study on Artificial Intelligence, or AI100

  9. 2. State-space search D. Keil Artificial Intelligence 6/13 David Keil, Framingham State University

    E-Print Network [OSTI]

    Keil, David M.

    2. State-space search D. Keil Artificial Intelligence 6/13 David Keil, Framingham State University CSCI 300 Artificial Intelligence 2. State-space search 1. Constraint and optimization problems 2. Goal-driven search 3. Exhaustive search and intractability 4. Heuristics 1D. Keil CSCI 300 Artificial Intelligence 2

  10. An artificial intelligence experiment in college math education Oliver Knill, Johnny Carlsson, Andrew Chi and Mark Lezama

    E-Print Network [OSTI]

    Knill, Oliver

    An artificial intelligence experiment in college math education Oliver Knill, Johnny Carlsson to solve simple pre-wired calculus problems. 1 Introduction 1.1 Artificial intelligence in education. Artificial intelligent projects like "Eliza" [8], "Student" or "GPS" [5] attempted to produce agents which

  11. AAAI-10 is the Twenty-Fourth AAAI Confer-ence on Artificial Intelligence (AI). The pur-

    E-Print Network [OSTI]

    Napp, Nils

    ) welcomes papers in robotics, vision, activity recognition and oth- er areas of artificial intelligenceAAAI-10 is the Twenty-Fourth AAAI Confer- ence on Artificial Intelligence (AI). The pur- pose challenges to the AI community. The Special Track on Artificial Intelligence and the Web (AIW) focuses

  12. Quantum Interaction Approach in Cognition, Artificial Intelligence and Robotics

    E-Print Network [OSTI]

    Diederik Aerts; Marek Czachor; Sandro Sozzo

    2011-04-17

    The mathematical formalism of quantum mechanics has been successfully employed in the last years to model situations in which the use of classical structures gives rise to problematical situations, and where typically quantum effects, such as 'contextuality' and 'entanglement', have been recognized. This 'Quantum Interaction Approach' is briefly reviewed in this paper focusing, in particular, on the quantum models that have been elaborated to describe how concepts combine in cognitive science, and on the ensuing identification of a quantum structure in human thought. We point out that these results provide interesting insights toward the development of a unified theory for meaning and knowledge formalization and representation. Then, we analyze the technological aspects and implications of our approach, and a particular attention is devoted to the connections with symbolic artificial intelligence, quantum computation and robotics.

  13. Elio, R., Haddadi, A., & Singh, A. (2000). Task models, intentions, and agent communication. Lecture Notes in Artificial Intelligence 1886: Proceedings of the Pacific Rim Conference on AI

    E-Print Network [OSTI]

    Elio, Renée

    2000-01-01

    . Lecture Notes in Artificial Intelligence 1886: Proceedings of the Pacific Rim Conference on AI (PRICAI

  14. Development and implementation of an artificially intelligent search algorithm for sensor fault detection using neural networks 

    E-Print Network [OSTI]

    Singh, Harkirat

    2004-09-30

    This work is aimed towards the development of an artificially intelligent search algorithm used in conjunction with an Auto Associative Neural Network (AANN) to help locate and reconstruct faulty sensor inputs in control ...

  15. The Artificial Intelligence of Hubert L. Dreyfus: A Budget of Fallacies

    E-Print Network [OSTI]

    Papert, Seymour

    1968-01-01

    In December 1965 a paper by Hubert Dreyfus revived the old game of generating curious arguments for and against Artificial Intelligence. Dreyfus hit top form in September 1967 with an explanation in the Review of ...

  16. Artificial Intelligence 184185 (2012) 1737 Contents lists available at SciVerse ScienceDirect

    E-Print Network [OSTI]

    Yang, Qiang

    2012-01-01

    Artificial Intelligence 184­185 (2012) 17­37 Contents lists available at SciVerse Science a a Department of Computer Science and Engineering, Hong Kong University of Science and Technology, Clear Water

  17. The application of neural networks with artificial intelligence technique in the modeling of industrial processes

    SciTech Connect (OSTI)

    Saini, K. K.; Saini, Sanju [CDLM engg. College Panniwala Mota, Sirsa and Murthal, Sonipat, Haryana (India)

    2008-10-07

    Neural networks are a relatively new artificial intelligence technique that emulates the behavior of biological neural systems in digital software or hardware. These networks can 'learn', automatically, complex relationships among data. This feature makes the technique very useful in modeling processes for which mathematical modeling is difficult or impossible. The work described here outlines some examples of the application of neural networks with artificial intelligence technique in the modeling of industrial processes.

  18. In Proceedings of the International Conference on Artificial Intelligence in Design, Worcester, MA, June In Proceedings of the 6th

    E-Print Network [OSTI]

    Tecuci, Gheorghe

    In Proceedings of the International Conference on Artificial Intelligence in Design, Worcester, MA, June 2000. 1 In Proceedings of the 6th International Conference on Artificial Intelligence in Design OF AN INTELLIGENT AGENT FOR THE DESIGN OF LOCAL AREA NETWORKS HADI REZAZAD*, GHEORGHE TECUCI Learning Agents

  19. Annals of Mathematics and Artificial Intelligence 17 (1996) 37-83 Consistency, redundancy, and implied equalities in

    E-Print Network [OSTI]

    Greenberg, Harvey J.

    1996-01-01

    Annals of Mathematics and Artificial Intelligence 17 (1996) 37-83 Consistency, redundancy interests in artificial intelligence have recently produced new results. One question is that of consistency by Charnes and Cooper [I01 and the monograph by Glover et al. [41]). They have also arisen in artificial

  20. K. M. Passino and P. J. Antsaklis, "A System and Control Theoretic Perspective on Artificial Intelligence Planning Systems," Control Systems Technical Report #63, Dept. of Electrical and Computer Engineering,

    E-Print Network [OSTI]

    Antsaklis, Panos

    on Artificial Intelligence Planning Systems," Control Systems Technical Report #63, Dept. of Electrical Perspective on Artificial Intelligence Planning Systems," Control Systems Technical Report #63, Dept Perspective on Artificial Intelligence Planning Systems," Control Systems Technical Report #63, Dept

  1. In Proceedings of the Seventh International Conference on Industrial and Engineering Applications of Artificial Intelligence and Expert Systems (IEA/AIE94)

    E-Print Network [OSTI]

    Kuipers, Benjamin

    of Artificial Intelligence and Expert Systems (IEA/AIE­94) Langhorne, PA: Gordon and Breech Science Publishers

  2. Design Issues in Parallel Architecture for Artificial Intelligence

    E-Print Network [OSTI]

    Hewitt, Carl

    1983-11-01

    Development of highly intelligent computers requires a conceptual foundation that will overcome the limitations of the von Neumann architecture. Architectures for such a foundation should meet the following design ...

  3. Wavelet and artificial intelligence application to automated fault analysis 

    E-Print Network [OSTI]

    Wang, Qilong

    2001-01-01

    not require a precise model in the problem domain. Fuzzy logic represents knowledge with ambiguity. It can handle the uncertainties well. The hybrid intelligent system based on the fuzzy logic and neural network utilize the virtue of the individual techniques...

  4. "Artificial Intelligence Systmes Techniques and Applications in Speech Processing"

    E-Print Network [OSTI]

    Campbell, D.R.; Fyfe, C.; Girolami, M.

    Campbell,D.R. Fyfe,C. Girolami,M. Intelligence Systems Technology and Applications, Vol.III Signal, Image and Speech processing, 1-48, Ed: C T Leondes pp V.III 1-48 CRC Press

  5. Electrical Design: A Problem for Artificial Intelligence Research

    E-Print Network [OSTI]

    Sussman, Gerald Jay

    1977-06-01

    This report outlines the problem of intelligent failure recovery in a problem-solver for electrical design. We want our problem solver to learn as much as it can from its mistakes. Thus we cast the engineering design ...

  6. Annals of Mathematics and Artificial Intelligence 31: 223238, 2001. 2001 Kluwer Academic Publishers. Printed in the Netherlands.

    E-Print Network [OSTI]

    Theraulaz, Guy

    Annals of Mathematics and Artificial Intelligence 31: 223­238, 2001. 2001 Kluwer Academic Publishers. Printed in the Netherlands. Animal­robots collective intelligence Geoffroy De Schutter a , Guy complex per- formances and produce Collective Intelligence (CI) at the level of the group. This context

  7. Journal of Artificial Intelligence Research 23 (2005) 79-122 Submitted 2/04; published 2/05 Reinforcement Learning for Agents with Many Sensors and

    E-Print Network [OSTI]

    Porta, Josep M.

    2005-01-01

    Journal of Artificial Intelligence Research 23 (2005) 79-122 Submitted 2/04; published 2 knowledge-based and behavior-based artificial intelligence has been fundamental to achieving successful repercussions for reinforcement learn- ing. Within artificial intelligence, reinforcement learning has been

  8. An Artificial Intelligence system to help the player of Real-Time Strategy games Renato L. de Freitas Cunha Luiz Chaimowicz

    E-Print Network [OSTI]

    Chaimowicz, Luiz

    An Artificial Intelligence system to help the player of Real-Time Strategy games Renato L. de propose and develop an Artificial Intelligence (AI) system that helps the player during the game, giving. Keywords:: Real-time Strategy, Artificial Intelligence Author's Contact: renato@renatocunha.com chaimo

  9. Abstract--In this paper, we report on work that applies a form of artificial intelligence (AI) to autonomous underwater vehicle

    E-Print Network [OSTI]

    Idaho, University of

    1 Abstract--In this paper, we report on work that applies a form of artificial intelligence (AI-centered intelligence (LCI), an approach to artificial intelligence (AI) that involves the dual use of the languages) to autonomous underwater vehicle (AUV) operations. Called "language-centered intelligence" (LCI), this form

  10. Artificial Intelligence 196 (2013) 106142 Contents lists available at SciVerse ScienceDirect

    E-Print Network [OSTI]

    De Giacomo, Giuseppe

    2013-01-01

    Direct Artificial Intelligence www.elsevier.com/locate/artint Automatic behavior composition synthesis Giuseppe De a painting blocks world scenario in which blocks are painted and processed by different robotic arms; different behaviors stand for different types of arms (e.g., a grip- per, a painting arm, a cleaner arm, etc

  11. Decision Theory in Expert Systems and Artificial Intelligence \\Lambda Eric J. Horvitz

    E-Print Network [OSTI]

    Horvitz, Eric

    . Breese Rockwell International Science Center Palo Alto Laboratory 444 High Street Palo Alto, CA 94301 Max 1988 Abstract Despite their different perspectives, artificial intelligence (AI) and the disciplines appearing in the International Journal of Approximate Reasoning, 2:247--302, 1988 (Special Issue

  12. CHINESE INPUT SYSTEM WITH ARTIFICIAL INTELLIGENCE Cemputer-Aided Instruction Laboratories, Institute of Educat-

    E-Print Network [OSTI]

    CHINESE INPUT SYSTEM WITH ARTIFICIAL INTELLIGENCE Fang Qian Cemputer-Aided Instruction Laboratories of Chinese Language Processing Systems commercially available around the world, of which the main divergence is probably in the input approaches of Chinese characters. But due to the following two facts none

  13. International Journal on Artificial Intelligence Tools Vol. 18, No. 3 (2009) 365378

    E-Print Network [OSTI]

    Peli, Eli

    2009-01-01

    International Journal on Artificial Intelligence Tools Vol. 18, No. 3 (2009) 365­378 c World Scientific Publishing Company DEVELOPMENT AND EVALUATION OF VISION MULTIPLEXING DEVICES FOR VISION S West Park,Westwood, MA 02090, USA noa.rensing@gmail.com 365 We have proposed a novel concept of vision

  14. In Artificial Intelligence 94(1), July 1997, pages 167215 Representations and Solutions for GameTheoretic Problems

    E-Print Network [OSTI]

    LaValle, Steven M.

    and Hart, 1992 ] , both in the theoretical foundations of microe­ conomic theory and in more practical protocols, and the work of Parikh [ 1992 ] on discourse understanding. In artificial intelligence, more

  15. Method and apparatus for optimizing operation of a power generating plant using artificial intelligence techniques

    DOE Patents [OSTI]

    Wroblewski, David (Mentor, OH); Katrompas, Alexander M. (Concord, OH); Parikh, Neel J. (Richmond Heights, OH)

    2009-09-01

    A method and apparatus for optimizing the operation of a power generating plant using artificial intelligence techniques. One or more decisions D are determined for at least one consecutive time increment, where at least one of the decisions D is associated with a discrete variable for the operation of a power plant device in the power generating plant. In an illustrated embodiment, the power plant device is a soot cleaning device associated with a boiler.

  16. Proceedings of the 8th International Symposium on Artificial Intelligence, 124--131 Monterrey, Mexico, October 1720, 1995

    E-Print Network [OSTI]

    Maloof, Mark

    Proceedings of the 8th International Symposium on Artificial Intelligence, 124--131 Monterrey recognition technique, and artificial neural networks. Experimental results demonstrate strong advantages. This research intends to both make a contribution to the methodology of vision through learning and solve

  17. Proceedings of the 8th International Symposium on Artificial Intelligence, 124131 Monterrey, Mexico, October 17-20, 1995

    E-Print Network [OSTI]

    Maloof, Mark

    Proceedings of the 8th International Symposium on Artificial Intelligence, 124­131 Monterrey recognition technique, and artificial neural networks. Experimental results demonstrate strong advantages. This research intends to both make a contribution to the methodology of vision through learning and solve

  18. Journal of Artificial Intelligence Research 2 (1994) 132 Submitted 4/94; published 8/94 A System for Induction of Oblique Decision Trees

    E-Print Network [OSTI]

    Salzberg, Steven

    1994-01-01

    Journal of Artificial Intelligence Research 2 (1994) 1­32 Submitted 4/94; published 8/94 A System and artificial data, that analyze OC1's ability to construct oblique trees that are smaller and more accurate

  19. Journal of Artificial General Intelligence 2(2) 1-19, 2010 Submitted 2010-11-24 Copyright 2010, AGI-Network (http://www.agi-network.org). All rights reserved.

    E-Print Network [OSTI]

    Spirtes, Peter

    Journal of Artificial General Intelligence 2(2) 1-19, 2010 Submitted 2010-11-24 Copyright © 2010 WWARWICK@ALIONSCIENCE.COM Abstract Cognitive Science and Artificial Intelligence share compatible goals of using cognitive architectures to achieve Artificial General Intelligence. Keywords: Cognitive

  20. Engineering Applications of Artificial Intelligence 19 (2006) 787795 A statistical complement to deterministic algorithms for the retrieval

    E-Print Network [OSTI]

    Vucetic, Slobodan

    2006-01-01

    to estimate the attenuation of solar energy as it passes through a column of atmosphere, a quantity commonlyEngineering Applications of Artificial Intelligence 19 (2006) 787­795 A statistical complement: Geophysical retrievals; Aerosols; Regression 1. Introduction NASA's Earth Observing System (EOS) satellites

  1. S.P. Lajoie & M. Vivet (eds), Proceedings of International Conference on Artificial Intelligence in Education, IOS Press, Amsterdam, 269-276.

    E-Print Network [OSTI]

    Bull, Susan

    S.P. Lajoie & M. Vivet (eds), Proceedings of International Conference on Artificial Intelligence in Education, IOS Press, Amsterdam, 269-276. The Missing Peer, Artificial Peers and the Enhancement of Human in critiquing each other's work in distributed and face-to- face mode. It has an artificial peer to provide

  2. Use of artificial intelligence to enhance the safety of nuclear power plants

    SciTech Connect (OSTI)

    Uhrig, R.E.

    1988-01-01

    In the operation of a nuclear power plant, the sheer magnitude of the number of process parameters and systems interactions poses difficulties for the operators, particularly during abnormal or emergency situations. Recovery from an upset situation depends upon the facility with which the available raw data can be converted into and assimilated as meaningful knowledge. Plant personnel are sometimes affected by stress and emotion, which may have varying degrees of influence on their performance. Expert systems can take some of the uncertainty and guesswork out of their decisions by providing expert advice and rapid access to a large information base. Application of artificial intelligence technologies, particularly expert systems, to control room activities in a nuclear power plant has the potential to reduce operator error and improve power plant safety and reliability. 12 refs.

  3. Building the Second Mind: 1956 and the Origins of Artificial Intelligence Computing

    E-Print Network [OSTI]

    Skinner, Rebecca Elizabeth

    2012-01-01

    with robotics and artificial vision. Allen Newell andoriginal research in artificial vision, pattern recognition,and in vision. Marvin Minsky arrives at MIT Artificial

  4. Back in the 1950s and '60s, researchers in the in-fant field of artificial intelligence first proclaimed that

    E-Print Network [OSTI]

    Gomes, Carla P.

    Back in the 1950s and '60s, researchers in the in- fant field of artificial intelligence first, but basically it means designing machines that can perform tasks that people do particu- larly well, including

  5. Artificial Intelligence Approach to the Determination of Physical Properties of Eclipsing Binaries. I. The EBAI Project

    E-Print Network [OSTI]

    A. Prsa; E. F. Guinan; E. J. Devinney; M. DeGeorge; D. H. Bradstreet; J. M. Giammarco; C. R. Alcock; S. G. Engle

    2008-07-10

    Achieving maximum scientific results from the overwhelming volume of astronomical data to be acquired over the next few decades will demand novel, fully automatic methods of data analysis. Artificial intelligence approaches hold great promise in contributing to this goal. Here we apply neural network learning technology to the specific domain of eclipsing binary (EB) stars, of which only some hundreds have been rigorously analyzed, but whose numbers will reach millions in a decade. Well-analyzed EBs are a prime source of astrophysical information whose growth rate is at present limited by the need for human interaction with each EB data-set, principally in determining a starting solution for subsequent rigorous analysis. We describe the artificial neural network (ANN) approach which is able to surmount this human bottleneck and permit EB-based astrophysical information to keep pace with future data rates. The ANN, following training on a sample of 33,235 model light curves, outputs a set of approximate model parameters (T2/T1, (R1+R2)/a, e sin(omega), e cos(omega), and sin i) for each input light curve data-set. The whole sample is processed in just a few seconds on a single 2GHz CPU. The obtained parameters can then be readily passed to sophisticated modeling engines. We also describe a novel method polyfit for pre-processing observational light curves before inputting their data to the ANN and present the results and analysis of testing the approach on synthetic data and on real data including fifty binaries from the Catalog and Atlas of Eclipsing Binaries (CALEB) database and 2580 light curves from OGLE survey data. [abridged

  6. Reservoir Modeling by Data Integration via Intermediate Spaces and Artificial Intelligence Tools in MPS Simulation Frameworks

    SciTech Connect (OSTI)

    Ahmadi, Rouhollah; Khamehchi, Ehsan

    2013-12-15

    Conditioning stochastic simulations are very important in many geostatistical applications that call for the introduction of nonlinear and multiple-point data in reservoir modeling. Here, a new methodology is proposed for the incorporation of different data types into multiple-point statistics (MPS) simulation frameworks. Unlike the previous techniques that call for an approximate forward model (filter) for integration of secondary data into geologically constructed models, the proposed approach develops an intermediate space where all the primary and secondary data are easily mapped onto. Definition of the intermediate space, as may be achieved via application of artificial intelligence tools like neural networks and fuzzy inference systems, eliminates the need for using filters as in previous techniques. The applicability of the proposed approach in conditioning MPS simulations to static and geologic data is verified by modeling a real example of discrete fracture networks using conventional well-log data. The training patterns are well reproduced in the realizations, while the model is also consistent with the map of secondary data.

  7. Printed in Eighth Scandinavian Conference on Artificial Intelligence, SCAI'03, eds. Bjrnar Tessem, Pekka Ala-Siuru, Patrick Doherty, and Brian Mayoh, pp. 183-88, IOS

    E-Print Network [OSTI]

    Einevoll, Gaute T.

    Printed in Eighth Scandinavian Conference on Artificial Intelligence, SCAI'03, eds. Bjørnar Tessem, Pekka Ala-Siuru, Patrick Doherty, and Brian Mayoh, pp. 183-88, IOS Press, Amsterdam, 2003. Artificial Vision: What can we learn from biology? G.T. EINEVOLL and H.E. PLESSER Department of Mathematical

  8. Proceedings of the Fourth International Workshop on Software Engineering and Artificial Intelligence for High Energy and Nuclear Physics, eds. B. Denby and D. PerretGallix, International Journal of Modern

    E-Print Network [OSTI]

    Peterson, Carsten

    Intelligence for High Energy and Nuclear Physics, eds. B. Denby and D. Perret­Gallix, International Journal on Software Engineering and Artificial Intelligence for High Energy and Nuclear Physics, Pisa, Italy, April 3

  9. RAVEN: a GUI and an Artificial Intelligence Engine in a Dynamic PRA Framework

    SciTech Connect (OSTI)

    C. Rabiti; D. Mandelli; A. Alfonsi; J. Cogliati; R. Kinoshita; D. Gaston; R. Martineau; C. Curtis

    2013-06-01

    Increases in computational power and pressure for more accurate simulations and estimations of accident scenario consequences are driving the need for Dynamic Probabilistic Risk Assessment (PRA) [1] of very complex models. While more sophisticated algorithms and computational power address the back end of this challenge, the front end is still handled by engineers that need to extract meaningful information from the large amount of data and build these complex models. Compounding this problem is the difficulty in knowledge transfer and retention, and the increasing speed of software development. The above-described issues would have negatively impacted deployment of the new high fidelity plant simulator RELAP-7 (Reactor Excursion and Leak Analysis Program) at Idaho National Laboratory. Therefore, RAVEN that was initially focused to be the plant controller for RELAP-7 will help mitigate future RELAP-7 software engineering risks. In order to accomplish this task, Reactor Analysis and Virtual Control Environment (RAVEN) has been designed to provide an easy to use Graphical User Interface (GUI) for building plant models and to leverage artificial intelligence algorithms in order to reduce computational time, improve results, and help the user to identify the behavioral pattern of the Nuclear Power Plants (NPPs). In this paper we will present the GUI implementation and its current capability status. We will also introduce the support vector machine algorithms and show our evaluation of their potentiality in increasing the accuracy and reducing the computational costs of PRA analysis. In this evaluation we will refer to preliminary studies performed under the Risk Informed Safety Margins Characterization (RISMC) project of the Light Water Reactors Sustainability (LWRS) campaign [3]. RISMC simulation needs and algorithm testing are currently used as a guidance to prioritize RAVEN developments relevant to PRA.

  10. Yang, M.C. and Kara, L.B., "Sketching and pen-based design interaction," (Guest Editorial) AI EDAM-Artificial Intelligence for Engineering Design, Analysis and Manufacturing 26 (3): 241-243, 2012.

    E-Print Network [OSTI]

    Yang, Maria

    - Artificial Intelligence for Engineering Design, Analysis and Manufacturing 26 (3): 241-243, 2012. AIEDAM-based design interaction," (Guest Editorial) AI EDAM- Artificial Intelligence for Engineering Design, AnalysisYang, M.C. and Kara, L.B., "Sketching and pen-based design interaction," (Guest Editorial) AI EDAM

  11. Proceedings of the Fourth International Workshop on Software Engineering and Artificial Intelligence for High Energy and Nuclear Physics, eds. B. Denby and D. PerretGallix, International Journal of Modern

    E-Print Network [OSTI]

    Lunds Universitet,

    on Software Engineering and Artificial Intelligence for High Energy and Nuclear Physics, Pisa, Italy, April 3Proceedings of the Fourth International Workshop on Software Engineering and Artificial Intelligence for High Energy and Nuclear Physics, eds. B. Denby and D. Perret­Gallix, International Journal

  12. Study on The Intelligence Control System of Artificial Cooling Source in Architecture 

    E-Print Network [OSTI]

    Yang, Z.; Xu, X.

    2006-01-01

    To overcome the shortcoming of constant temperature and humidity in artificial cooling source control system, a dynamic indoor temperature control strategy was put forward under health and thermal comfortable principles. With a lump human model...

  13. Fighting Game Artificial Intelligence Competition Feiyu Lu, Kaito Yamamoto, Luis H. Nomura, Syunsuke Mizuno, YoungMin Lee, and Ruck Thawonmas

    E-Print Network [OSTI]

    Thawonmas, Ruck

    Fighting Game Artificial Intelligence Competition Platform Feiyu Lu, Kaito Yamamoto, Luis H. Nomura fighting game. Examples of fighting games are Street Fighter, Tekken, and Mortal Kombat. To select the winner in the fighting game is simple: the winner is the character with less damage or the last one

  14. Response [to Whitmer's "Intentionality, Artificial Intelligence and the Causal Powers of the Brain"

    E-Print Network [OSTI]

    Eudaly, Thomas

    is that if something artificial functions in the electro-chemical way that brains do, then it has intentional states. Now, Whitmer does state the conclusion aright where he says that "it seems conceivable that an entity could exist whose component mental parts..., 1977). 2J. Whitmer, "Intentionality, Artificial Intelli­ gence and the Causal Powers of the Brain," p. 204 above. 'Ibid. *The Behavioral and Brain Sciences, 3 (1980), p. 419. 213 ...

  15. Quantum Artificial Intelligence

    E-Print Network [OSTI]

    B. Aoun; M. Tarifi

    2011-06-04

    This report introduces researchers in AI to some of the concepts in quantum heurisitics and quantum AI.

  16. Artificial Intelligence Applications

    E-Print Network [OSTI]

    Grant, P. W.

    -programs (programs manipulating programs) than in conventional procedural languages such as Pas- cal or C. Nowadays spectograms. Drilling Advisor A system developed by Elf to help determine why a drill sticks. MYCIN A medical

  17. Special issue HAIS 2012: Recent advancements in hybrid artificial intelligence systems and its application to real-world problems

    E-Print Network [OSTI]

    Cho, Sung-Bae

    - ments in this field. The papers are organized as follows. In the first contribution, Charte et al Intelligent Systems, HAIS 2012 held in Salamanca, Spain, March 28­30, 2012, and organized by the BISITE were tested over three different areas of Spain with well-differentiated environmental characteristics

  18. Artificial Neural Network for Optimized Power System Management

    E-Print Network [OSTI]

    OLeary, Daniel Albert

    2015-01-01

    solar–wind–hydrogen) model based in artificial intelligence for a remote-housing application in mexico.

  19. Near & Far Sides of Artificial Sky 

    E-Print Network [OSTI]

    Unknown

    2011-08-17

    This paper is a general overview of the field of artificial Intelligence and of some of the application issues within that field. Its first objective is to try and establish a viable definition for what artificial intelligence is, and to make a...

  20. Artificial Intelligence Constraint Satisfaction Problems

    E-Print Network [OSTI]

    Voris, Jonathan

    , V, SA, T · Domains: Di = {red,green,blue} · Constraints: adjacent regions must have different colors e.g., WA NT, or (WA,NT) in {(red,green),(red,blue),(green,red), (green,blue),(blue,red),(blue,green)} #12;15 Example: Map Coloring · Solutions are complete and consistent assignments, e.g., WA = red, NT

  1. Artificial Intelligence -- A Personal View

    E-Print Network [OSTI]

    Marr, David

    1976-03-01

    The goal of A.I. is to identify and solve useful information processing problems. In so doing, two types of theory arise. Here, they are labelled Types 1 and 2, and their characteristics are outlined. This discussion creates ...

  2. Semantic Web 30Artificial

    E-Print Network [OSTI]

    van Harmelen, Frank

    312007.11 "" Semantic Web 30Artificial IntelligenceKnowledge Representation Inductive Web datasets ---- Tim Berners-Lee Tim Berners-Lee " "" " Web 2.0---- Web Web 2.0 Frank van Harmelen W3C OWL Web Sesame RDF Aduna 100 Hirsch 35 5 15 ECAI2002 3 ISWC

  3. Generation of museum web pages: The intelligent labelling explorer. 

    E-Print Network [OSTI]

    Hitzeman, Janet; Mellish, Chris; Oberlander, Jon

    1997-01-01

    The first phase of the Intelligent Labelling Explorer project has built the ILEX-1.1 system, which uses artificial intelligence technology to generate descriptions of objects displayed in a museum gallery. Each description ...

  4. The Universal Arrow of Time V-VI: (Part V) Unpredictable dynamics (Part VI) Future of artificial intelligence - Art, not Science: Practical Application of Unpredictable Systems

    E-Print Network [OSTI]

    Oleg Kupervasser

    2013-05-23

    The paper consists of the two independent papers:(Part V) We see that exact equations of quantum and classical mechanics describe ideal dynamics which is reversible and leads to Poincare's returns. Real equations of physics describing observable dynamics, for example, hydrodynamic equations of viscous fluid, are irreversible and exclude Poincare's returns to the initial state. Besides, these equations describe systems in terms of macroparameters or phase distribution functions of microparameters. For many systems introduction of macroparameters that allow exhaustive describing of dynamics of the system is impossible. Their dynamics becomes unpredictable in principle, sometimes even unpredictable by the probabilistic way. We will refer to dynamics describing such system as unpredictable dynamics. Dynamics of unpredictable systems is not described and not predicted by scientific methods. Thus, the science itself puts boundaries for its applicability. But such systems can intuitively "understand itself" and "predict" the behavior "of its own" or even "communicate with each other" at intuitive level. (Part VI) Perspective of the future of artificial intellect (AI) is considered. It is shown that AI development in the future will be closer rather to art than to science. Complex dissipative systems whose behavior cannot be understood completely in principle will be the basis of AI. Nevertheless, it will not be a barrier for their practical use.

  5. Artificial Intelligence 88 ( 1996) 349-358 Intelligence

    E-Print Network [OSTI]

    Walsh, Toby

    traveling salesman problem. We show that for random problems there is a rapid transition between soluble. Such phase transition phenomena appear to be ubiquitous. Indeed, we have yet to find an NP-complete problem which lacks a similar phase transition. Keywords: NP-complete problems; Complexity; Traveling salesman

  6. Subcommittee Intelligence

    E-Print Network [OSTI]

    Ernst, Damien

    Intelligence Methods for Voltage Stability Assessment Louis WEHENKEL University of Li` ege ­ Belgium I. (Quick) reasoning mechanisms ffl Today : towards data (and computationally) intensive methods ) Data mining

  7. MASSACHUSETTS INSTITUTE OF TECHNOLOGY ARTIFICIAL INTELLIGENCE LABORATORY

    E-Print Network [OSTI]

    Poggio, Tomaso

    by Daimler-Benz AG, Eastman Kodak, Siemens Corporate Research, Inc., AT&T, Digital Equipment Corporation classification machines of the form: min m i=1 V (yi, f(xi)) subject to f 2 K A2 (1) where we use the following. Classification of a new test point x is always done by simply considering the sign of f(x). Machines of this form

  8. MASSACHUSETTS INSTITUTE OF TECHNOLOGY ARTIFICIAL INTELLIGENCE LABORATORY

    E-Print Network [OSTI]

    Poggio, Tomaso

    to ful ll the thesis requirement for the Master of Engineering degree in Electrical Engineering, and Central Research Institute of Electric Power Industry. #12;1 Introduction Object detection algorithms surveillance systems and their use in driver assistance systems in cars is being actively explored

  9. ARTIFICIAL INTELLIGENCE 10 ITNOW December 2013

    E-Print Network [OSTI]

    Hopgood, Adrian

    individuals does not constitute a team or a functioning society. To benefit from the collective capabilities to achieve this aim, with diverse software agents working together like a team of boffins that share spectrum, and is closing in towards the middle. The gaps relate to behaviours that we tend to take

  10. Applications of artificial intelligence to engineering problems

    SciTech Connect (OSTI)

    Adey, R.A.; Sriram, D.

    1987-01-01

    The conference covered general sessions on AI techniques suitable for engineering applications, e.g. knowledge representation, natural language, probability, design methodologies and constraints. This was followed by sessions covering application in mechanical engineering, civil engineering, electrical engineering, and general engineering. Further sessions covered robotics and tools and techniques for building knowledge based systems.

  11. Artificial intelligence in engineering: Tools and techniques

    SciTech Connect (OSTI)

    Sriram, D.; Adey, R.A.

    1987-01-01

    Much of the early research in AI has focused on the development of the necessary tools and techniques for building applications. The 26 papers presented in this book summarise some of the latest developments and how they can be applied in engineering.

  12. Foundations of Artificial Intelligence Knowledge Representation

    E-Print Network [OSTI]

    Qu, Rong

    To introduce knowledge acquisition and knowledge engineering. To explain how knowledge is taken from a human. Knowledge Acquisition #12;The field of knowledge engineering can be defined as the process of assessing problems, acquiring knowledge and building knowledge based systems. Knowledge Engineering #12;Problem

  13. Foundations of Artificial Intelligence Knowledge Acquisition

    E-Print Network [OSTI]

    Qu, Rong

    knowledge acquisition and knowledge engineering. To explain how knowledge is taken from a human before being against the original statement. Knowledge Acquisition The field of knowledge engineering can be defined Engineering Problem assessment Data and knowledge acquisition Bottleneck Development of a prototype system

  14. Foundations of Artificial Intelligence Knowledge Acquisition

    E-Print Network [OSTI]

    Qu, Rong

    knowledge acquisition and knowledge engineering. To explain how knowledge is taken from a human before being of knowledge engineering can be defined as the process of assessing problems, acquiring knowledge and building knowledge based systems. Knowledge Engineering Problem assessment Data and knowledge acquisition Bottleneck

  15. 11. Memory Limitations in Artificial Intelligence

    E-Print Network [OSTI]

    as the smoking pistol behind a lot of the attacks on AI [249] -- refers to all that is going on around

  16. MASSACHUSETTS INSTITUTE OF TECHNOLOGY ARTIFICIAL INTELLIGENCE LABORATORY

    E-Print Network [OSTI]

    is provided in part by the Advanced Research Projects Agency of the Dept. of Defense. The authors were network architectures, how­ ever, are also statistical processors, characterized by making particular to distinguish three broad types of statistical modeling problem, which we shall call density estimation

  17. Causal and Communal Factors in a Comprehensive Test of Intelligence 

    E-Print Network [OSTI]

    Schweizer, Paul

    2010-01-01

    The paper traces a pathway through the existing space of argumentation surrounding the original Turing Test (TT) and the discipline of ‘Strong’ Artificial Intelligence that followed on from Turing’s work, and extends this ...

  18. Proceedings of the sixth international symposium on methodologies for intelligent systems (Poster Session)

    SciTech Connect (OSTI)

    Harber, K.S.

    1991-09-01

    This volume contains papers which have been selected for the poster Session at the Sixth International Symposium for Intelligent Systems held October 1991, The following major areas were covered: expert systems; intelligent databases; knowledge representation; learning and adaptive systems; and logic for artificial intelligence. Nineteen full papers are included. (GHH)

  19. INTELLIGENT ENGINEERING

    E-Print Network [OSTI]

    Ernst, Damien

    CPSPP'97 ­ IFAC/CIGRE SYMPOSIUM ON CONTROL OF POWER SYSTEMS AND POWER PLANTS TUTORIAL COURSE ON INTELLIGENT SYSTEMS AND THEIR POWER ENGINEERING APPLICATIONS AUTOMATIC LEARNING APPLICATIONS TO DSA Learning.6 Examples : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : 32 5.6.1 Hydro

  20. Integrated intelligent systems in advanced reactor control rooms

    SciTech Connect (OSTI)

    Beckmeyer, R.R.

    1989-01-01

    An intelligent, reactor control room, information system is designed to be an integral part of an advanced control room and will assist the reactor operator's decision making process by continuously monitoring the current plant state and providing recommended operator actions to improve that state. This intelligent system is an integral part of, as well as an extension to, the plant protection and control systems. This paper describes the interaction of several functional components (intelligent information data display, technical specifications monitoring, and dynamic procedures) of the overall system and the artificial intelligence laboratory environment assembled for testing the prototype. 10 refs., 5 figs.

  1. Artificial photosynthesis

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Outreach Home Room News Publications TraditionalWithAntiferromagneticInexpensive 2- toArthur J.Artificial

  2. Artificial Photosynthesis II -

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    II - Artificial Photosynthesis II - Joint Center for Artificial Photosynthesis (JCAP) Simulations NathanLewis.png Schematic of a photoelectrochemical cell being designed to harness...

  3. AI and Cinema -Does artificial insanity rule? Robert B. Fisher

    E-Print Network [OSTI]

    Fisher, Bob

    AI and Cinema - Does artificial insanity rule? Robert B. Fisher Division of Informatics University the early days of cinema (1907). These movies are interesting, because they help shape the mainstream public Intelligence, at least as AI appears in the cinema. The cinematic sort of AI is the key opinion former of AI

  4. Intelligent Extruder

    SciTech Connect (OSTI)

    AlperEker; Mark Giammattia; Paul Houpt; Aditya Kumar; Oscar Montero; Minesh Shah; Norberto Silvi; Timothy Cribbs

    2003-04-24

    ''Intelligent Extruder'' described in this report is a software system and associated support services for monitoring and control of compounding extruders to improve material quality, reduce waste and energy use, with minimal addition of new sensors or changes to the factory floor system components. Emphasis is on process improvements to the mixing, melting and de-volatilization of base resins, fillers, pigments, fire retardants and other additives in the :finishing'' stage of high value added engineering polymer materials. While GE Plastics materials were used for experimental studies throughout the program, the concepts and principles are broadly applicable to other manufacturers materials. The project involved a joint collaboration among GE Global Research, GE Industrial Systems and Coperion Werner & Pleiderer, USA, a major manufacturer of compounding equipment. Scope of the program included development of a algorithms for monitoring process material viscosity without rheological sensors or generating waste streams, a novel detection scheme for rapid detection of process upsets and an adaptive feedback control system to compensate for process upsets where at line adjustments are feasible. Software algorithms were implemented and tested on a laboratory scale extruder (50 lb/hr) at GE Global Research and data from a production scale system (2000 lb/hr) at GE Plastics was used to validate the monitoring and detection software. Although not evaluated experimentally, a new concept for extruder process monitoring through estimation of high frequency drive torque without strain gauges is developed and demonstrated in simulation. A plan to commercialize the software system is outlined, but commercialization has not been completed.

  5. Interpretation Intelligent Systems Laboratory

    E-Print Network [OSTI]

    Ward, Koren

    1 TENS Text Interpretation Intelligent Systems Laboratory University of Wollongong TENS Text and delivering the text data to the user by electrically stimulating the fingers. Intelligent Systems Laboratory ­ University of Wollongong #12;2 The TENS Unit Intelligent Systems Laboratory ­ University of Wollongong

  6. Symposium on Intelligent Embedded Systems (IES 2014) at IEEE Symposium Series in Computational Intelligence 2014

    E-Print Network [OSTI]

    Alippi, Cesare

    with sensors, actuators and computational intelligence -based computing ability, permeate our daily life of Things · Intelligent sensor networks · Intelligent sensors and robotics · Intelligent measurement systems-world applications Keywords Embedded systems, fault-diagnosis systems, intelligent applications, intelligent sensors

  7. LED Market Intelligence Report

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    around dimming capabilities. 16 LED Market Intelligence Report Home Depot Walmart Cree Philips TCP GE LSG Osram Feit Costco Lowe's Retail, Regulations, and LEDs Like...

  8. MIA -Master on Artificial Intelligence Advanced Natural Language Processing

    E-Print Network [OSTI]

    Ageno, Alicia

    times Observed sequency: X = {HHT, HTT, TTT, HHH} #12;Advanced Natural Language Processing Machine estimates of model parameters given observations X = {HHT, HTT, TTT, HHH} = E[Y=H] N p1 = 2·P(HHT,H)+1·P(HTT,H)+0·P(TTT,H)+3·P(HHH,H) E[Y=H] p2 = 2·P(HHT,T)+1·P(HTT,T)+0·P(TTT,T)+3·P(HHH,T) E[Y=T] #12;Advanced

  9. Artificial General Intelligence and the Future of the Human Race

    E-Print Network [OSTI]

    Pavlacka, Bryon

    2012-01-01

    Navy’s second stealthy X-47B drone flies. DefenseTech. org.war purposes. Consider drones such as the Northrop Grummanno pilot. Of course, the drone can be given orders, but the

  10. Computer Science and Artificial Intelligence Laboratory Technical Report

    E-Print Network [OSTI]

    Jackson, Daniel

    and thus repre- sent the closest we have to some kind of consensus. Amongst these notions, one is of partic not merely as one of many criteria for good design, but as the single determinant of success or failure. Fred features and improvements, but to reflect one set of design ideas, than to have one that contains many good

  11. Computer Science and Artificial Intelligence Laboratory Technical Report

    E-Print Network [OSTI]

    Poggio, Tomaso

    02139, U.S.A. Abstract I discuss the "levels of understanding" framework described in Marr's Vision of the best known in Marr's Vision (Marr 2009): it has been mentioned as one of the most enduring constructs based on a paper (Marr and Poggio, 1977) that we wrote together for a booklet of NRP (the influential

  12. Quantum Aspects of Semantic Analysis and Symbolic Artificial Intelligence

    E-Print Network [OSTI]

    Diederik Aerts; Marek Czachor

    2004-02-19

    Modern approaches to semanic analysis if reformulated as Hilbert-space problems reveal formal structures known from quantum mechanics. Similar situation is found in distributed representations of cognitive structures developed for the purposes of neural networks. We take a closer look at similarites and differences between the above two fields and quantum information theory.

  13. Evolution of Simple Intelligence Distribution in Artificial Philip Dhingra

    E-Print Network [OSTI]

    Fernandez, Thomas

    A group of ants are placed in a room with a box of food that they have to push to a wall. The objective coordinate the pushing of this box. The more ants that help push the box, the faster the food is collected. The faster a group collects the food, the more favored that group of ants will be in breeding for subsequent

  14. Computer Science and Artificial Intelligence Laboratory Technical Report

    E-Print Network [OSTI]

    Poggio, Tomaso

    . Rifkin MIT Center for Biological and Computational Learning rif@mit.edu Ross A. Lippert D. E. Shaw in the machine learning context. 1 Notation and Basics We are given data points S = {(X1, Y1), . . . , (Xn, Yn is done elementwise, so a vector divided by a vector yields another vector. #12;We use the standard

  15. International Journal of Pattern Recognition and Artificial Intelligence

    E-Print Network [OSTI]

    Louisville, University of

    , Louisville, KY 40292, USA matt@cairo.spd.louisville.edu farag@louisville.edu MOUMEN T. EL-MELEGY Electrical Engineering Department, Assiut University, Assiut, Egypt moumen@cairo.spd.louisville.edu Correspondence is one

  16. Social Structure Simulation and Inference using Artificial Intelligence

    E-Print Network [OSTI]

    of my life. Without Tanya, my fiancee, my world would have been bleak and grey. Not only she infused

  17. To appear, Artificial Intelligence, 1995 Abduction to Plausible Causes

    E-Print Network [OSTI]

    Boutilier, Craig

    to predict the effects of its actions on the world in order to verify whether a potential plan achieves can change KB in order to accommodate a new belief A. Notice that this revision of KB need world. A new form of belief change dubbed update was proposed in full generality by Katsuno

  18. Artificial Intelligence Methods rxq@cs.nott.ac.uk

    E-Print Network [OSTI]

    Qu, Rong

    There is no need to design sophisticated acceptance criteria to escape from local optima Design of neighbourhoods #12;Idea of VNS So far on our local search based approaches, only one neighbourhood is employed To escape from local optimum In SA, move to worse neighbourhoods base on a probability using the cooling

  19. Beyond the macho approach of artificial intelligence: empower

    E-Print Network [OSTI]

    Fischer, Gerhard

    , rather than simply by the use of an automated systems. The authors' approach is not that of building that empowers designers with integrated, domain-oriented, knowledge-based design environments. The paper environments. Itfocuses on the integration ofspecification, construction, and a catalogue ofprestored design

  20. Computer Science and Artificial Intelligence Laboratory Technical Report

    E-Print Network [OSTI]

    Poggio, Tomaso

    " of the problem is characterized in terms of the parameters r and s, the first related to the "complexity rates of convergence for the expected squared loss of the estimators, over the family of priors/Digital Equipment Corporation, East- man Kodak Company, Honda R&D Co., Ltd., Industrial Technology Research

  1. Roel Wieringa Machine Intelligence

    E-Print Network [OSTI]

    Wieringa, Roel

    Roel Wieringa Machine Intelligence and Explication Rapport nr.IR-129 VRIJE UNIVERSITEITAMSTERDAM Facultei~ Wiskunde en Informatica, De Boelelaan 1081, 1081 HV Amsterdam #12;Machine Intelligence. Machines and explicitness 1.1 Systems, states, and processes 1.2 Machines, Turing machines, computers 1

  2. Artificial Insemination in Swine 

    E-Print Network [OSTI]

    Sterle, Jodi

    1999-09-03

    Artificial insemination in swine works only if used and managed properly. This publication discusses the swine estrous cycle and how to detect estrus. It also provides step-by-step instructions for inseminating the female....

  3. Exercise in artificial gravity

    E-Print Network [OSTI]

    Edmonds, Jessica Leigh

    2005-01-01

    Artificial gravity provided by short radius centrifugation is considered a promising countermeasure to the deleterious physiological effects of microgravity during long-duration space flight. We investigated the feasibility ...

  4. Intelligent system design with fixed-base simulation validation for general aviation 

    E-Print Network [OSTI]

    Rong, Jie; Ding, Yuanyuan; Valasek, J.; Painter, John H.

    2003-10-05

    agents, as illustrated in Fig. 5. The primary data fusion techniques used to develop the Assistant are Artificial Intelligence methods, including rule-based expert systems, fuzzy logic, and artificial neural network: I I Aircraft I Approach... Expert System The General Aviation Pilot Advisory Training System (GAPATS) is a computerized airbome expert system, which infers the flight mode of an aircraft from sensed flight parameters using fuzzy logic methods. The pilot?s flying performance...

  5. Artificial Neural Networks In Electric Power Industry Technical Report of the ISIS Group

    E-Print Network [OSTI]

    Antsaklis, Panos

    Artificial Neural Networks In Electric Power Industry Technical Report of the ISIS Group at the University of Notre Dame ISIS-94-007 April, 1994 Rafael E. Bourguet and Panos J. Antsaklis Department," Technical Report of the ISIS (Interdisciplinary Studies of Intelligent Systems) Group, No. ISIS-94-007, Univ

  6. Regulatory Dynamics of Natural and Artificial Photosynthesis

    E-Print Network [OSTI]

    Zaks, Julia

    2012-01-01

    of Natural and Artificial Photosynthesis by Julia Zaks Aof Natural and Artificial Photosynthesis Copyright 2012 byof Natural and Artificial Photosynthesis by Julia Zaks

  7. Artificial Heart Valve Design

    E-Print Network [OSTI]

    Provancher, William

    Artificial Heart Valve Design Your Chance to be a Biomedical Engineer #12;Circulatory System Video #12;What is a Heart Valve? · Heart Valve Video #12;#12;What Does a Heart Valve Do? · Maintain the one direction flow of blood through the heart · Heart valves allow blood to flow through in a forward direction

  8. diploma thesis Adaptive Building Intelligence

    E-Print Network [OSTI]

    Rutishauser, Ueli

    diploma thesis Adaptive Building Intelligence A multi-Agent approach Ueli Rutishauser Alain Sch intelligent. A building is perceived as be- ing intelligent if it is able to learn from experience. We is connected to the sensors and effectors via a dedicated fieldbus network (LonWorks). Based on this data

  9. INTELLIGENT CONTROL Panos J. Antsaklis

    E-Print Network [OSTI]

    Antsaklis, Panos

    learning help intelligent controllers to adapt and learn. Advances in sensors, actuators, computationINTELLIGENT CONTROL by Panos J. Antsaklis Department of Electrical Engineering University of Notre for the Encyclopedia of Electrical and Electronics Engineering John Wiley & Sons, Inc. 1997 Intelligent control

  10. Web Intelligence to Make Strategic

    E-Print Network [OSTI]

    Ahrendt, Wolfgang

    Using Web Intelligence to Make Strategic (Business) Decisions Staffan Truvé, PhD Co-founder & CTO truve@recordedfuture.com #12;#12;#12;#12;Recorded Future · Web Intelligence · From data collection;#7 #12;#7 #12;#1 #12;#12;Sensors + predictive models #12;Web Intelligence Metrics UNSTRUCTURED TEXT

  11. OVERVIEW ______ Sensors for Intelligent

    E-Print Network [OSTI]

    Wadley, Haydn

    OVERVIEW ______ Sensors for Intelligent Processing of Materials Haydn N.G. Wadley INTRODUCTION A sensor is a device that detects and measures some physical/chemical quantity and outputs and outputs an electrical signal which can be used to characterize the vibration. Numer- ous types of sensors

  12. Utility Theory Social Intelligence

    E-Print Network [OSTI]

    Polani, Daniel

    Utility Theory Social Intelligence Daniel Polani Utility Theory ­ p.1/15 Utilities: Motivation Consider: game scenario For Instance: 2-or-more players Necessary: development of concept for utilities decisions sequential decisions (time) games Utility The Prototypical Scenario Consider: agent that can take

  13. Artificial Neural Network As A Valuable Tool For Petroleum Engineers Mohaghegh, S., and Ameri, S., West Virginia University

    E-Print Network [OSTI]

    Mohaghegh, Shahab

    in information technologies. Employing computers in the work place, incorporating sophisticated simula- tion Technologies" has a highly dynamic meaning. In recent years, artificial neural networks and fuzzy set theory Technologies." These tools are providing engineers and scientists with the foundation upon which intelligent

  14. ICS 606 / EE 606 -Intelligent Autonomous Agents Catalog Description: The theory, methods, and practical applications of autonomous agent systems, including

    E-Print Network [OSTI]

    Reed, Nancy E.

    , ISBN: 0262731312. Optional text #1: Artificial Intelligence - A Modern Approach, 2nd edition, Russell of agent systems. Course Objectives: A student should understand (i) the fundamental concepts of agent, Edited by Gerhard Weiss. The MIT Press, Hardcover March 1999, ISBN: 0262731312, or Paperback July 2000

  15. Transsaccadic identification of highly similar artificial shapes

    E-Print Network [OSTI]

    Crawford, Doug

    ., & Verfaillie, K. (2009). Transsaccadic identification of highly similar artificial shapes. Journal of Vision, 9Transsaccadic identification of highly similar artificial shapes Laboratory of Experimental on postsaccadic perception do indeed occur. We presented subjects with highly similar artificial shapes, preceded

  16. Ecological Consequences of Artificial Night Lighting

    E-Print Network [OSTI]

    Piselli, Kathy

    2006-01-01

    of Artificial Night Lighting Catherine Rich and Travisof artificial night lighting. This book provides editedage of modern urban lighting was ushered in. Coincidentally,

  17. Enhancing nuclear power plant performance through the use of artifical intelligence

    SciTech Connect (OSTI)

    Johnson, M.; Maren, A.; Miller, L.; Uhrig, R.; Upadhyaya, B.

    1989-06-15

    In the summer of 1988, the Department of Nuclear Engineering (NE) at the University of Tennessee (UT) in Knoxville was selected to carry out a research program in Enhancing the Operation of Nuclear Power plants through the use of Artificial Intelligence, This program is sponsored by the Department of Energy's Office of Energy Research under 10CFR605 for Nuclear Engineering Research. The objective of the research is to advance the state-of-the-art of nuclear power plant control, safety, management, and instrumentation systems through the use of artificial intelligence (AI) techniques, including both expert systems and neural networks. The emphasis will be placed on methods that can be implemented on a rapid or real-time basis. A second, but equally important, objective is to build a broadly based critical mass of expertise in the artificial intelligence, field that can be brought to bear on the technology of nuclear power plants. Both of these goals are being met. This overview and the attached technical reports describe the work that is being carried out. Although in some cases, the scope of the work differs somewhat from the specific tasks described in the original proposal, all activities are clearly within the overall scope of the contract.

  18. Enhancing nuclear power plant performance through the use of artifical intelligence. First annual report

    SciTech Connect (OSTI)

    Johnson, M.; Maren, A.; Miller, L.; Uhrig, R.; Upadhyaya, B.

    1989-06-15

    In the summer of 1988, the Department of Nuclear Engineering (NE) at the University of Tennessee (UT) in Knoxville was selected to carry out a research program in ``Enhancing the Operation of Nuclear Power plants through the use of Artificial Intelligence, This program is sponsored by the Department of Energy`s Office of Energy Research under 10CFR605 for Nuclear Engineering Research. The objective of the research is to advance the state-of-the-art of nuclear power plant control, safety, management, and instrumentation systems through the use of artificial intelligence (AI) techniques, including both expert systems and neural networks. The emphasis will be placed on methods that can be implemented on a rapid or real-time basis. A second, but equally important, objective is to build a broadly based critical mass of expertise in the artificial intelligence, field that can be brought to bear on the technology of nuclear power plants. Both of these goals are being met. This overview and the attached technical reports describe the work that is being carried out. Although in some cases, the scope of the work differs somewhat from the specific tasks described in the original proposal, all activities are clearly within the overall scope of the contract.

  19. Private development of artificial reefs 

    E-Print Network [OSTI]

    Burns, Arthur Allen

    1978-01-01

    PRIVATE DEVFLOPMENT OF ARTIFICIAL REEFS A Thesis ARTHUR ALLEN BURNS, JR. Submitted to the Graduate College of Texas ARM University in partial fulfillment of the requirement for the degree of MASTER OF SCIENCE December 1978 Major Subject...: Management PRIVATE DEVELOPMENT OF ARTIFICIAL REEFS A Thesis by ARTHUR ALLEN BURNS, JR. Approved as to style and content by: irman o t e Committee { ead o the Depa tment ~Member Memb e- December 1978 12409Ei'7 ABSTRACT Private Development...

  20. Training artificial neural networks using APPM

    E-Print Network [OSTI]

    Sanyal, Sugata

    - timization algorithm that simulate the plant growing process. It designs two artificial photosynthesis

  1. Robotic intelligence kernel

    DOE Patents [OSTI]

    Bruemmer, David J. (Idaho Falls, ID)

    2009-11-17

    A robot platform includes perceptors, locomotors, and a system controller. The system controller executes a robot intelligence kernel (RIK) that includes a multi-level architecture and a dynamic autonomy structure. The multi-level architecture includes a robot behavior level for defining robot behaviors, that incorporate robot attributes and a cognitive level for defining conduct modules that blend an adaptive interaction between predefined decision functions and the robot behaviors. The dynamic autonomy structure is configured for modifying a transaction capacity between an operator intervention and a robot initiative and may include multiple levels with at least a teleoperation mode configured to maximize the operator intervention and minimize the robot initiative and an autonomous mode configured to minimize the operator intervention and maximize the robot initiative. Within the RIK at least the cognitive level includes the dynamic autonomy structure.

  2. Self-Assembly and Mass Transport in Membranes for Artificial Photosynthesis

    E-Print Network [OSTI]

    Modestino, Miguel Antonio

    2013-01-01

    for artificial photosynthesis systems ..6Artificial Photosynthesis up process of artificial photosynthesis membranes and open

  3. Symbolic diagnosis for intelligent control 

    E-Print Network [OSTI]

    Painter, John H.; Jowers, S.

    1988-08-24

    power systems. The approach is to create a generic, symbolic inference engine to interpret data from real-time numerical processes. The interpreted data are then utilized by companion symbolic and numeric modules resulting in a dynamic, intelligent real...

  4. Artificial Neural Network for Optimized Power System Management

    E-Print Network [OSTI]

    OLeary, Daniel Albert

    2015-01-01

    vii Abstract Artificial Neural Network for Optimized PowerAn Artificial Neural Network (ANN). Data is input to theSANTA CRUZ ARTIFICIAL NEURAL NETWORK FOR OPTIMIZED POWER

  5. Artificial Life in Quantum Technologies

    E-Print Network [OSTI]

    U. Alvarez-Rodriguez; M. Sanz; L. Lamata; E. Solano

    2015-05-14

    We develop a quantum information protocol that models the biological behaviors of individuals living in a natural selection scenario. The artificially engineered evolution of the quantum living units shows the fundamental features of life in a common environment, such as self-replication, mutation, interaction of individuals, and death. We propose how to mimic these bio-inspired features in a quantum-mechanical formalism, which allows for an experimental implementation achievable with current quantum platforms. This result paves the way for the realization of artificial life and embodied evolution with quantum technologies.

  6. Joint Center for Artificial Photosynthesis

    ScienceCinema (OSTI)

    Koval, Carl; Lee, Kenny; Houle, Frances; Lewis, Nate

    2013-12-19

    The Joint Center for Artificial Photosynthesis (JCAP) is the nation's largest research program dedicated to the development of an artificial solar-fuel generation technology. Established in 2010 as a U.S. Department of Energy (DOE) Energy Innovation Hub, JCAP aims to find a cost-effective method to produce fuels using only sunlight, water, and carbon dioxide as inputs. JCAP brings together more than 140 top scientists and researchers from the California Institute of Technology and its lead partner, Berkeley Lab, along with collaborators from the SLAC National Accelerator Laboratory, and the University of California campuses at Irvine and San Diego.

  7. Modeling emotion dynamics in intelligent agents 

    E-Print Network [OSTI]

    Seif El-Nasr, Magy

    1998-01-01

    Emotions were shown to have a leading role in the human decision-making process, and thus they play an important role in human intelligence. Intelligent agents' research produced many models of emotional agents. However, most of these models focused...

  8. Greening the MLS for Business Intelligence

    Broader source: Energy.gov [DOE]

    "Greening the MLS for Business Intelligence," by Margaret O’Sullivan, RealEstate Business Intelligence, July 10, 2012. Presents an exploration of the MLS platform, key RETS standards, current trends, and future expectations.

  9. In Lecture Notes in Artificial Intelligence 1531-PRICAI'98: Topics in Artificial Intelligence, H. Lee & H. Motoda (Eds.). Berlin:Springer Verlag.

    E-Print Network [OSTI]

    Abidi, Syed Sibte Raza

    for the bacteria-antibiotic sensitivity and resistivity profiles, which could then be used to guide physicians projections to be requested for and displayed over the Internet. 1 Introduction Electronic data repositories exchange rates; a hospital administrator might want to predict the rate of admission of patients

  10. Conference on Artificial Intelligence | ICAI'06 | WORLDCOMP 2006 International Conference on Artificial Intelligence, Las Vegas, NV, June 26-29, 2006

    E-Print Network [OSTI]

    Maciejewski, Anthony A. "Tony"

    .A. 1992 riots Sudeep S. Bhat Electrical and Computer Engineering Department Colorado State University Fort Electrical and Computer Engineering Department Colorado State University Fort Collins, CO, U.S.A. aam. In particular, an agent-based model is used to create both a car physics model and a social force model

  11. Development of an Intelligent Systems Approach for

    E-Print Network [OSTI]

    Mohaghegh, Shahab

    ;VIRTUAL INTELLIGENCE Conventional Computing Soft Computing · Bivalent Logic · Numerical Analysis · Probability · Differential Equations · Functional Analysis · Mathematical Programming · Approximation Theory

  12. An Investigation of Artificial Neural Network Architectures in Artificial Life Implementations

    E-Print Network [OSTI]

    Güngör, Tunga

    . They use vision, smell and sound as input to their artificial neural network brains, which utilize HebbianAn Investigation of Artificial Neural Network Architectures in Artificial Life Implementations¨C2D!EF4¦GH¤G¦H¦I!46PRQSUTVXW Abstract. In this paper, an artificially created world is defined

  13. Aircraft System Identification Using Artificial Neural Networks

    E-Print Network [OSTI]

    Valasek, John

    Aircraft System Identification Using Artificial Neural Networks Kenton Kirkpatrick Jim May Jr. John Networks 2 Artificial Neural Networks ANNSID Conclusions and Open Challenges #12;Motivation 3 #12;Motivating Questions Is it possible to use artificial neural networks to determine a linear model

  14. Artificial Fishes: Physics, Locomotion, Perception, Behavior

    E-Print Network [OSTI]

    Terzopoulos, Demetri

    Artificial Fishes: Physics, Locomotion, Perception, Behavior Xiaoyuan Tu and Demetri Terzopoulos-based, virtual marine world. The world is inhabited by artificial fishes that can swim hydrodynamically of artificial fishes in their virtual habitat are not entirely predictable because they are not scripted. 1

  15. Artificial Fishes: Physics, Locomotion, Perception, Behavior

    E-Print Network [OSTI]

    Toronto, University of

    Artificial Fishes: Physics, Locomotion, Perception, Behavior Xiaoyuan Tu and Demetri Terzopoulos the approach, we develop a physics­based, virtual marine world. The world is inhabited by artificial fishes. As in nature, the detailed motions of artificial fishes in their vir­ tual habitat are not entirely predictable

  16. An Intelligent System For Effective Forest Fire Detection Using Spatial Data

    E-Print Network [OSTI]

    Angayarkkani, K

    2010-01-01

    The explosive growth of spatial data and extensive utilization of spatial databases emphasize the necessity for the automated discovery of spatial knowledge. In modern times, spatial data mining has emerged as an area of voluminous research. Forest fires are a chief environmental concern, causing economical and ecological damage while endangering human lives across the world. The fast or early detection of forest fires is a vital element for controlling such phenomenon. The application of remote sensing is at present a significant method for forest fires monitoring, particularly in vast and remote areas. Different methods have been presented by researchers for forest fire detection. The motivation behind this research is to obtain beneficial information from images in the forest spatial data and use the same in the determination of regions at the risk of fires by utilizing Image Processing and Artificial Intelligence techniques. This paper presents an intelligent system to detect the presence of forest fires ...

  17. Intelligent Economic Alarm Processor (IEAP) 

    E-Print Network [OSTI]

    Guan, Yufan

    2013-08-06

    ): ?The 21st Substation Design?, and ??Verifying Interoperability and Application Performance of PMUs and PMU-enabled IEDs at the Device and System Level?. The fourth one is funded by Advanced Research Agency- Energy (ARPA-E) through Green Electricity... Energy Management System MMS Market Management System SCADA Supervisory Control and Data Acquisition PMU Phasor Measurement Unit IED Intelligent Electronic Device ISO Independent System Operator SPS Special Protection Schemes ATC Available...

  18. Fabrication of microfluidic devices for artificial respiration

    E-Print Network [OSTI]

    Park, Hyesung, Ph. D. Massachusetts Institute of Technology

    2007-01-01

    We are developing elastomeric polydimethylsiloxane (PDMS) microfluidic devices incorporated with photoactive thin films to create an implantable artificial respiration platform. Whereas state-of-the-art respiration support ...

  19. "Artificial" brains, electrical grids, and disease modeling:...

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Science discoveries unveiled "Artificial" brains, electrical grids, and disease modeling: Los Alamos science discoveries unveiled September 15 The event is an opportunity for...

  20. Intelligent Matchmaking for Polar Ice Sheet Data Collection and Delivery

    E-Print Network [OSTI]

    Kansas, University of

    for the dynamic configuration of sensors and the motion of the rovers that carry them. The PRISM intelligent intelligent sensor and roveIntelligent Matchmaking for Polar Ice Sheet Data Collection and Delivery Costas Tsatsoulis, Sudha

  1. Neuromorphic Vision Chips: intelligent sensors for industrial applications

    E-Print Network [OSTI]

    Neuromorphic Vision Chips: intelligent sensors for industrial applications Giacomo Indiveri, J, Neuromorphic Systems, Intelligent Sensors, Vehicle Navigation I. Introduction THE term "neuromorphic systems them in hardware. The developed chips can thus be used as "intelligent sensors"; sensors that, from

  2. Intelligent Control and Asset Management: A Retrospective Intelligent Control and Asset Management: A Retrospective

    E-Print Network [OSTI]

    Taylor, James H.

    Intelligent Control and Asset Management: A Retrospective Intelligent Control and Asset Management system called ICAM, the Intelligent Control and Asset Management system, with specific focus on petroleum. INTRODUCTION Comprehensive asset management and control of a modern process facility can involve many tasks

  3. Intelligent Simulation Tools for Mining Large Scienti c Data Sets 1 Intelligent Simulation Tools for Mining

    E-Print Network [OSTI]

    Bailey-Kellogg, Chris

    Intelligent Simulation Tools for Mining Large Scienti#12;c Data Sets 1 Intelligent Simulation Tools for Mining Large Scienti#12;c Data Sets Feng ZHAO Xerox Palo Alto Research Center 3333 Coyote Hill Road, Palo. Keywords Intelligent simulation, Scienti#12;c data mining, Qualitative reasoning, Reasoning about physical

  4. Management and Control of Foreign Intelligence

    Broader source: Directives, Delegations, and Requirements [Office of Management (MA)]

    1992-01-15

    The order provides for the management of and assign responsibilities for foreign intelligence activities of DOE. Cancels DOE 5670.1.

  5. Intelligence support to arms control. Study project

    SciTech Connect (OSTI)

    Grisham, A.E.

    1990-04-09

    This paper argues that intelligence support is critical to the success of arms control. It identifies and describes the roles of intelligence in the arms control process, describes the existing intelligence organizational structure for arms control support, and identifies and analyzes issues. The roles include support to policy formulation, support to treaty negotiation, support to ratification, and finally, during verification, support for the implementation of the treaty through monitoring. The Director of Central Intelligence is responsible for monitoring, while the Arms Control and Disarmament Agency has responsibility for verification. Adjudication of conflicting interpretations occurs within the NSC committee structure. For several reasons, intelligence cannot be expected to do the actual verification of an arms control treaty. Most importantly, determination of an acceptable degree of confidence is always a political issue, although based on military judgement. Assigning intelligence responsibility for monitoring, rather than verification, helps to limit the politicization of intelligence. Issues identified during the research for this paper were analyzed within three subgroups: those inherent in the intelligence discipline; these must be managed successfully to limit adverse impact on intelligence products. Second, issues and challenges inherent in arms control bureaucratic relationships; these are best managed by keeping separate the actual monitoring analysis and verification this gives the West justification for caution, and reinforces the need for continued emphasis on verification.

  6. WSN-based Intelligent Visual Performance Management in Tropical Buildings

    E-Print Network [OSTI]

    Edwin, Chan; Szu Cheng, Chien; Boon-Hee, Soong; King Jet, Tseng

    2014-01-01

    Lin, and Y. C. Tseng, “A WSN-based intelligent light controlWSN-based Intelligent Visual Performance Management inprototypical implementation of WSN-based daylight-responsive

  7. Creating Artificial Radiation Belts in the Lab

    E-Print Network [OSTI]

    Mauel, Michael E.

    Creating Artificial Radiation Belts in the Lab or "Some Observations of Hot Plasma Trapped Jeff #12;Outline · The Earth's radiation belts and ring current · Fast-electron interchange instability) fusion. #12;#12;"Artificial Radiation Belts" Van Allen kissing Explorer 4 "good bye" before it's launch

  8. ARTIFICIAL FERTILIZATION OF LAKES AND PONDS

    E-Print Network [OSTI]

    ARTIFICIAL FERTILIZATION OF LAKES AND PONDS A Review of the Literature SPECIAL SCIENTIFIC REPORT., John L. Farley, Director ARTIFICIAL FERTILIZATION OF LAKES AND PONDS A Review of the Literature By John Interpretation of results .................. l5 Fertilization and pond culture .................. l6 The pond

  9. Virtual Alternative to the Oral Examination for Emergency Medicine Residents

    E-Print Network [OSTI]

    2015-01-01

    application of artificial intelligence. The Unity 3-Dautomated case using artificial intelligence. Because only

  10. Learning and inferring human intentions : explorations of driver attention and interactivity

    E-Print Network [OSTI]

    Doshi, Anup

    2010-01-01

    in the Computer Vision and Artificial Intelligence communityimprovements in machine vision and artificial intelligence.

  11. Characterization of Shape Memory Alloys Using Artificial Neural Networks

    E-Print Network [OSTI]

    Valasek, John

    1 Characterization of Shape Memory Alloys Using Artificial Neural Networks Jim Henrickson, Kenton ­ Generate Training Data ­ Train Artificial Neural Network Results Conclusion Characterization of Shape Characterization of Shape Memory Alloys Using Artificial Neural Networks Jim Henrickson, Kenton Kirkpatrick, Dr

  12. Artificial Fishes: Autonomous Locomotion, Perception, Behavior, and Learning

    E-Print Network [OSTI]

    Terzopoulos, Demetri

    1 Artificial Fishes: Autonomous Locomotion, Perception, Behavior, and Learning in a Simulated inhabited by realistic artificial fishes. Our algorithms emulate not only the appearance, movement model each animal holistically. An artificial fish is an autonomous agent situated in a simulated

  13. Artificial Production Review Report and Recommendations of the

    E-Print Network [OSTI]

    i Artificial Production Review Report and Recommendations of the Northwest Power Planning Council.................................................................................................................................. 1 A. Artificial Production Programs in the Columbia River Basin................................................. 1 B. The Council's Artificial Production Review

  14. Transit Lightcurve Signatures of Artificial Objects

    E-Print Network [OSTI]

    Luc Arnold

    2005-03-27

    The forthcoming space missions, able to detect Earth-like planets by the transit method, will a fortiori also be able to detect the transit of artificial planet-size objects. Multiple artificial objects would produce lightcurves easily distinguishable from natural transits. If only one artificial object transits, detecting its artificial nature becomes more difficult. We discuss the case of three different objects (triangle, 2-screen, louver-like 6-screen) and show that they have a transit lightcurve distinguishable from the transit of natural planets, either spherical or oblate, although an ambiguity with the transit of a ringed planet exists in some cases. We show that transits, especially in the case of multiple artificial objects, could be used for the emission of attention-getting signals, with a sky coverage comparable to the laser pulse method. The large number of expected planets (several hundreds) to be discovered by the transit method by next space missions will allow to test these ideas.

  15. Putting the "Smarts" into the Smart Grid: A Grand Challenge for Artificial Intelligence

    E-Print Network [OSTI]

    Southampton, University of

    ground and air source heat pumps powered by electricity rather than existing natural gas and oil fired Southampton, SO17 1BJ, UK {sdr,pv,acr,nrj}@ecs.soton.ac.uk 1. INTRODUCTION The phenomenal growth in material reliance on oil for transportation.1 Likewise, our homes and offices will have to be heated by efficient

  16. Building the Second Mind: 1956 and the Origins of Artificial Intelligence Computing

    E-Print Network [OSTI]

    Skinner, Rebecca Elizabeth

    2012-01-01

    studies in the history of technology. Baltimore: JohnsMichael R. A History of Computing Technology. EnglewoodWilliams’ A History of Computing Technology observes: “ Had

  17. Is Artificial Intelligence (AI) possible? Thomas Bolander, Associate Professor, DTU Informatics

    E-Print Network [OSTI]

    Bolander, Thomas

    Alan Turing 1950 paper: · Can machines think? · How are we to check? · Difficult, but this we can check. · Task of the judge: who's who among computer and human? Alan Turing, 1954 Thomas Bolander, Science

  18. Building the Second Mind: 1956 and the Origins of Artificial Intelligence Computing

    E-Print Network [OSTI]

    Skinner, Rebecca Elizabeth

    2012-01-01

    Press, 1972. Gottfried, T. Alan Turing: The Architect of theA guided tour through Alan Turing’s historic paper onA guided tour through Alan Turing’s historic paper on

  19. Building the Second Mind: 1956 and the Origins of Artificial Intelligence Computing

    E-Print Network [OSTI]

    Skinner, Rebecca Elizabeth

    2012-01-01

    s scientific and research environment was a ‘Closed World’scientific community to the U.S. success in the Second World

  20. Building the Second Mind: 1956 and the Origins of Artificial Intelligence Computing

    E-Print Network [OSTI]

    Skinner, Rebecca Elizabeth

    2012-01-01

    times, this did not allow for hacking or student usage ofThe Birth of Computer Hacking, and Its Rewards hack: “ 2.of low culture in AI is hacking. Like low culture itself, it

  1. Klassische Themen der Computer-Wissenschaften WS2008 Exercises ARTIFICIAL INTELLIGENCE

    E-Print Network [OSTI]

    : Formalize in propositional logic: "A tank of a car has to provide gas. A loaded battery provides electrical power. If the starting engine of a car is working correctly and there is electrical power available, the car's engine will be started. A started car engine will run alone only if there is enough gas. The car

  2. Building the Second Mind: 1956 and the Origins of Artificial Intelligence Computing

    E-Print Network [OSTI]

    Skinner, Rebecca Elizabeth

    2012-01-01

    Problem Solving: The Next Advance in Operations Research. ”Operations Research 6 (January-February 1958): 1-10. Simon,Next Advance in Operations Research”. Operations Research

  3. SPE 173406-MS Application of Artificial Intelligence and Data Mining Techniques for Fast

    E-Print Network [OSTI]

    Mohaghegh, Shahab

    Fossil fuel use is considered the main source of CO2 emission. Even with considering new policies of CO2 gas emissions.1 The atmospheric concentration of CO2 recently reached a considerable level of 400 ppm reservoir simulation model for the geologic CO2 sequestration study at SACROC Unit, lead to a high

  4. Engineering Applications of Artificial Intelligence 16 (2003) 579593 Estimator design in jet engine applications

    E-Print Network [OSTI]

    2003-01-01

    are nonlinear dynamical systems for which an exact mathematical model cannot be used for estimator design to avoid rotating stall (Emmons et al., 1955). Rotating stall is described in Fig. 1, where a row of axial compressor blades is shown: a non-uniformity in the inlet flow causes an increase in the angle of attack

  5. In Proceedings of the Eleventh National Conference on Artificial Intelligence (AAAI93)

    E-Print Network [OSTI]

    Kuipers, Benjamin

    Schlumberger Dowell P. O. Box 2710 Tulsa, OK 74101 lee@dsn.sinet.slb.com Benjamin J. Kuipers Department

  6. Lecture Notes in Artificial Intelligence 3651 Edited by J. G. Carbonell and J. Siekmann

    E-Print Network [OSTI]

    Engineering and Engineering Management Shatin, N.T., Hong Kong E-mail: kfwong@se.cuhk.edu.hk Jian Su Natural Centre Tat Chee Avenue, Kowloon, Hong Kong E-mail: rlolivia@cityu.edu.hk Library of Congress Control international economic world, is experiencing a leap forward in the world of knowledge. The technology of NLP

  7. Building the Second Mind: 1956 and the Origins of Artificial Intelligence Computing

    E-Print Network [OSTI]

    Skinner, Rebecca Elizabeth

    2012-01-01

    early computer languages and programming aids, renewed studyIn Horowitz, ed. Programming Languages: A Grand Tour .ed. History of Programming Languages . New York: Academic

  8. Computational Linguistics Volume 26, Number 4 Artificial Intelligence and Literary Creativity

    E-Print Network [OSTI]

    Professor Edward Hart enjoyed giving. Dave wanted desperately to be a doctor. But he needed the signatures certify that he had passed his defense. One of the signatures had to come from Professor Hart, and Hart-earned dream. Well before the defense, Striver gave Hart a penultimate copy of his thesis. Hart read

  9. An artificial intelligence approach to model-based gas lift troubleshooting 

    E-Print Network [OSTI]

    Ortiz-Volcan, Jose Luis

    1990-01-01

    . 6 Prudhoe Bay Gas Factor Correlation. . . . . . . . . . . . . . , . C. 7 Program Listing Written Under Microsoft QuickBasicr& . D GEOTHERMAL GRADIENT CORRELATIONS. . . . . . . . . . . Page 124 124 130 132 132 133 134 135 137 141 144... of liquid slug, Mft/min. XIX Subscript Gas component. Greek pf pt OR Liquid gradient (without dissolved gas), Psi/ft Liquid gradient (with dissolved gas), Psig/ft Upstream temperature, oR 1 ~DUCTION This introductory section has three goals: (1...

  10. Building the Second Mind: 1956 and the Origins of Artificial Intelligence Computing

    E-Print Network [OSTI]

    Skinner, Rebecca Elizabeth

    2012-01-01

    or ‘mathematical machines’ and ‘electric brains’. This isunder mathematical machines and electric brains. The Machine

  11. Building the Second Mind: 1956 and the Origins of Artificial Intelligence Computing

    E-Print Network [OSTI]

    Skinner, Rebecca Elizabeth

    2012-01-01

    science, or software engineering, Cybernetics provided thefrom the Cybernetics and electrical engineering cohort atCybernetics, or with radar and the early Cold War technologies- radar, acoustics, electrical engineering-

  12. Building the Second Mind: 1956 and the Origins of Artificial Intelligence Computing

    E-Print Network [OSTI]

    Skinner, Rebecca Elizabeth

    2012-01-01

    expenditures. The Atomic Energy Commission was created inof Defense, the Atomic Energy Commission, the National

  13. Artificial Intelligence in Medicine 14 (1998) 139155 Scenario recognition for temporal reasoning in

    E-Print Network [OSTI]

    Dojat, Michel

    1998-01-01

    ´ et de la Recherche Me´dicale, U438-RMN Bioclinique, Centre Hospitalier Uni6ersitaire-Pa6illon B, BP scenario S01 excerpt from the management of mechanical ventilation may have the following sequence (Fig. 1

  14. Modeling, History Matching, Forecasting and Analysis of Shale Reservoirs Performance Using Artificial Intelligence

    E-Print Network [OSTI]

    Mohaghegh, Shahab

    matching, forecasting and analyzing oil and gas production in shale reservoirs. In this new approach and analysis of oil and gas production from shale formations. Examples of three case studies in Lower Huron and New Albany shale formations (gas producing) and Bakken Shale (oil producing) is presented

  15. Forecasting, Sensitivity and Economic Analysis of Hydrocarbon Production from Shale Plays Using Artificial Intelligence & Data Mining

    E-Print Network [OSTI]

    Mohaghegh, Shahab

    and condensate) from Marcellus Shale. Instead of imposing our understanding of flow and transport in shale gas Marcellus Shale. Introduction Shale gas has attracted attention throughout the world. As a result, there has been a lot of research on the shale gas reservoirs focusing toward improving the understanding

  16. Building the Second Mind: 1956 and the Origins of Artificial Intelligence Computing

    E-Print Network [OSTI]

    Skinner, Rebecca Elizabeth

    2012-01-01

    Achilles’ shield. The Greek inventor and philosopher Heronto Greek mythology, the inventor Daedalus crafted wings ofLeibniz (1646-1716), inventor of calculus (along with

  17. Building the Second Mind: 1956 and the Origins of Artificial Intelligence Computing

    E-Print Network [OSTI]

    Skinner, Rebecca Elizabeth

    2012-01-01

    Interview. OH 183. Papert, Seymour, in McCulloch 1965.Marvin, and Papert, Seymour. Perceptrons: an introduction toAs Minsky and his colleague Seymour Papert later described

  18. Engineering Applications of Artificial Intelligence 20 (2007) 1124 Optimal combination of document binarization techniques using a

    E-Print Network [OSTI]

    Papamarkos, Nikos

    2007-01-01

    (Otsu, 1979; Kittler and Illingworth, 1986; Reddi et al., 1984; Kapur et al., 1985; Papamarkos and Gatos

  19. Advanced Research in Artificial Intelligence132 METHODOLOGY FOR LANGUAGE ANALYSIS AND GENERATION

    E-Print Network [OSTI]

    Cardeñosa, Jesús

    IN CLOSED DOMAINS: PHARMACEUTICAL LEAFLET Jesús Cardeñosa, Carolina Gallardo, Adriana Toni Abstract and generation of language applied to the field of pharmaceutical leaflet, a type of document characterized or management field. This discussion only ratifies the challenge supposed for automating, as far as possible

  20. Building the Second Mind: 1956 and the Origins of Artificial Intelligence Computing

    E-Print Network [OSTI]

    Skinner, Rebecca Elizabeth

    2012-01-01

    New York: Harcourt, 2008. Aeronautics and Astronauticsthe National Aeronautics and Space Administration, theof the National Aeronautics and Space Administration. NASA

  1. Quality Control by Artificial Vision

    SciTech Connect (OSTI)

    Lam, Edmond Y. [University of Hong Kong, The; Gleason, Shaun Scott [ORNL; Niel, Kurt S. [Upper Austria University of Applied Science, Engineering and Environmental Studies

    2010-01-01

    Computational technology has fundamentally changed many aspects of our lives. One clear evidence is the development of artificial-vision systems, which have effectively automated many manual tasks ranging from quality inspection to quantitative assessment. In many cases, these machine-vision systems are even preferred over manual ones due to their repeatability and high precision. Such advantages come from significant research efforts in advancing sensor technology, illumination, computational hardware, and image-processing algorithms. Similar to the Special Section on Quality Control by Artificial Vision published two years ago in Volume 17, Issue 3 of the Journal of Electronic Imaging, the present one invited papers relevant to fundamental technology improvements to foster quality control by artificial vision, and fine-tuned the technology for specific applications. We aim to balance both theoretical and applied work pertinent to this special section theme. Consequently, we have seven high-quality papers resulting from the stringent peer-reviewing process in place at the Journal of Electronic Imaging. Some of the papers contain extended treatment of the authors work presented at the SPIE Image Processing: Machine Vision Applications conference and the International Conference on Quality Control by Artificial Vision. On the broad application side, Liu et al. propose an unsupervised texture image segmentation scheme. Using a multilayer data condensation spectral clustering algorithm together with wavelet transform, they demonstrate the effectiveness of their approach on both texture and synthetic aperture radar images. A problem related to image segmentation is image extraction. For this, O'Leary et al. investigate the theory of polynomial moments and show how these moments can be compared to classical filters. They also show how to use the discrete polynomial-basis functions for the extraction of 3-D embossed digits, demonstrating superiority over Fourier-basis functions for this task. Image registration is another important task for machine vision. Bingham and Arrowood investigate the implementation and results in applying Fourier phase matching for projection registration, with a particular focus on nondestructive testing using computed tomography. Readers interested in enriching their arsenal of image-processing algorithms for machine-vision tasks should find these papers enriching. Meanwhile, we have four papers dealing with more specific machine-vision tasks. The first one, Yahiaoui et al., is quantitative in nature, using machine vision for real-time passenger counting. Occulsion is a common problem in counting objects and people, and they circumvent this issue with a dense stereovision system, achieving 97 to 99% accuracy in their tests. On the other hand, the second paper by Oswald-Tranta et al. focuses on thermographic crack detection. An infrared camera is used to detect inhomogeneities, which may indicate surface cracks. They describe the various steps in developing fully automated testing equipment aimed at a high throughput. Another paper describing an inspection system is Molleda et al., which handles flatness inspection of rolled products. They employ optical-laser triangulation and 3-D surface reconstruction for this task, showing how these can be achieved in real time. Last but not least, Presles et al. propose a way to monitor the particle-size distribution of batch crystallization processes. This is achieved through a new in situ imaging probe and image-analysis methods. While it is unlikely any reader may be working on these four specific problems at the same time, we are confident that readers will find these papers inspiring and potentially helpful to their own machine-vision system developments.

  2. Personalized Information Management for Web Intelligence

    E-Print Network [OSTI]

    Tan, Ah-Hwee

    intelligence collection as primary sources. We how- ever believe that the importance of published information. CI professionals have referred to published information collection as secondary sources and humanPersonalized Information Management for Web Intelligence Ah-Hwee Tan Kent Ridge Digital Labs 21

  3. Intelligence team given national honor

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power Administration would likeUniverseIMPACT EVALUATION PLANIs gravityIntellectual Property AgreementIntelligence

  4. Artificial neural networks in models of specialization, guild evolution

    E-Print Network [OSTI]

    Getz, Wayne M.

    Artificial neural networks in models of specialization, guild evolution and sympatric speciation on host choice, employing artificial neural networks as models for the host recognition system

  5. Predictability of PV power grid performance on insular sites without weather stations: use of artificial neural networks

    E-Print Network [OSTI]

    Voyant, Cyril; Paoli, Christophe; Nivet, Marie Laure; Poggi, Philippe

    2009-01-01

    The official meteorological network is poor on the island of Corsica: only three sites being about 50 km apart are equipped with pyranometers which enable measurements by hourly and daily step. These sites are Ajaccio (seaside), Bastia (seaside) and Corte (average altitude of 486 meters). This lack of weather station makes difficult the predictability of PV power grid performance. This work intends to study a methodology which can predict global solar irradiation using data available from another location for daily and hourly horizon. In order to achieve this prediction, we have used Artificial Neural Network which is a popular artificial intelligence technique in the forecasting domain. A simulator has been obtained using data available for the station of Ajaccio that is the only station for which we have a lot of data: 16 years from 1972 to 1987. Then we have tested the efficiency of this simulator in two places with different geographical features: Corte, a mountainous region and Bastia, a coastal region. ...

  6. Artificial Immune System based urban traffic control 

    E-Print Network [OSTI]

    Negi, Pallav

    2007-09-17

    Borrowing ideas from natural immunity, Artificial Immune Systems (AIS) offer a novel approach to solving many diagnosis, optimization and control problems. In the course of this research this paradigm was applied to the problem of optimizing urban...

  7. Modelling artificial pheromone strategies for SPB control 

    E-Print Network [OSTI]

    Isakson, Kyle George

    1981-01-01

    MODELLING ARTIFICIAL PHEROMONE STRATEGIES FOR SPB CONTROL A Thesis Kyle George Isakson Submitted to the Graduate College of Texas AAM University in partial fulfillment of the requirements for the degree of MASTER OF SCIENCE August 19gl... of Department) -August 1981 ABSTRACT Modelling Artificial Pheromone Strategies for SPB Control. (August 1981) Kyle George Isakson, B. S. , Texas A&M University Co-Chairmen of Advisory Committee: Dr. Hain-1 Wu Dr. Youhanna Fares The development...

  8. Intelligent Sensor Validation And Sensor Fusion For Reliability And Safety Enhancement In Vehicle Control

    E-Print Network [OSTI]

    Agogino, Alice; Goebel, Kai; Alag, Sanam

    1995-01-01

    A Methodology for Intelligent Sensor Validation, Fusion andA Framework for Intelligent Sensor Validation, SensorA Methodology for Intelligent Sensor Validation and Fusion

  9. Intelligent Sensor Validation And Fusion For Vehicle Guidance Using Probabilistic And Fuzzy Methods

    E-Print Network [OSTI]

    Agogino, Alice; Goebel, Kai; Alag, Sanam

    1997-01-01

    1995. A Framework for Intelligent Sensor Validation, SensorAgogino, A. 1995. Intelligent Sensor Validation and FusionOF CALIFORNIA, BERKELEY Intelligent Sensor Validation and

  10. LIDAR, Camera and Inertial Sensors Based Navigation Techniques for Advanced Intelligent Transportation System Applications

    E-Print Network [OSTI]

    Huang, Lili

    2010-01-01

    planar range sensor designed for intelligent robots andSensors Based Navigation Techniques for Advanced IntelligentSensors Based Navigation Techniques for Advanced Intelligent

  11. A KNOWLEDGE BASED SYSTEM FOR PROVIDING INTELLIGENT ACCESS TO A PETROLEUM USER DATABASE

    E-Print Network [OSTI]

    Rosenberg, Steven

    2011-01-01

    INTELLIGENT ACCESS TO A PETROLEUM USER DATABASE StevenINTELLIGENT ACCESS TO A PETROLEUM USER DATABASE StevenINTELLIGENT ACCESS TO A PETROLEUM USER DATABASE Steven

  12. Content Analysis for Proactive Protective Intelligence

    SciTech Connect (OSTI)

    Sanfilippo, Antonio P.

    2010-12-15

    The aim of this paper is to outline a plan for developing and validating a Proactive Protective Intelligence approach that prevents targeted violence through the analysis and assessment of threats overtly or covertly expressed in abnormal communications to USSS protectees.

  13. "Intelligent systems for healthcare and robotics"

    E-Print Network [OSTI]

    Zhigilei, Leonid V.

    "Intelligent systems for healthcare and robotics" Laura Barnes Assistant Professor lbarnes, and robotics. We are interested in problems such as computationally modeling group behavior and interactions and clinicians. Robotics & Multiagent Systems Research in this area is specifically focused on multiagent

  14. Performance Modeling of Intelligent Car Parking Systems

    E-Print Network [OSTI]

    Telek, Miklós

    introduction at the beginning of the century [2], the smart city concept enjoys an enormous attention from. In an intelligent car parking system the driver selects its destination on a smart- phone application when entering

  15. Progressing for Intelligent to Smart Buildings 

    E-Print Network [OSTI]

    Buckman, A. H.; Mayfield, M.; Meijer, R.; Beck, S. B. M.

    2013-01-01

    This paper addresses the issue of the misunderstandings surrounding the terms intelligent and smart when applied to modern buildings. The terms have increasingly been used interchangeably which has led to confusion for designers, researchers...

  16. Developing Geospatial Intelligence Stewardship for Multinational Operations

    E-Print Network [OSTI]

    Thomas, Jeff

    2009-11-18

    Picture: you can’t symbolize/generalize everything to scale • Situational Awareness & Commander’s Circulation • Intelligence, Surveillance & Reconnaissance (ISR) – Ends, Ways, Means versus Full Motion Video Addition; Predator “Porn” – Collection Strategy... Picture: you can’t symbolize/generalize everything to scale • Situational Awareness & Commander’s Circulation • Intelligence, Surveillance & Reconnaissance (ISR) – Ends, Ways, Means versus Full Motion Video Addition; Predator “Porn” – Collection Strategy...

  17. System design and dynamic signature identification for intelligent energy management in residential buildings.

    E-Print Network [OSTI]

    Jang, Jaehwi

    2008-01-01

    for Intelligent Energy Management in Residential Buildingsfor Intelligent Energy Management in Residential Buildingsthat can provide autonomous energy management to residential

  18. IJCNN 2015 Call For Papers Special Session on Intelligence for cyber-physical, embedded and pervasive systems

    E-Print Network [OSTI]

    Alippi, Cesare

    · Intelligent sensors and robo1cs · Intelligent systems for embedded applica1ons · Intelligent sensors · Intelligence for sensor networks · Neuromorphic systems · InternetIJCNN 2015 Call For Papers ­ Special Session on Intelligence for cyber

  19. Instrumentation, Control, and Intelligent Systems

    SciTech Connect (OSTI)

    Not Available

    2005-09-01

    Abundant and affordable energy is required for U.S. economic stability and national security. Advanced nuclear power plants offer the best near-term potential to generate abundant, affordable, and sustainable electricity and hydrogen without appreciable generation of greenhouse gases. To that end, Idaho National Laboratory (INL) has been charged with leading the revitalization of nuclear power in the U.S. The INL vision is to become the preeminent nuclear energy laboratory with synergistic, world-class, multi-program capabilities and partnerships by 2015. The vision focuses on four essential destinations: (1) Be the preeminent internationally-recognized nuclear energy research, development, and demonstration laboratory; (2) Be a major center for national security technology development and demonstration; (3) Be a multi-program national laboratory with world-class capabilities; (4) Foster academic, industry, government, and international collaborations to produce the needed investment, programs, and expertise. Crucial to that effort is the inclusion of research in advanced instrumentation, control, and intelligent systems (ICIS) for use in current and advanced power and energy security systems to enable increased performance, reliability, security, and safety. For nuclear energy plants, ICIS will extend the lifetime of power plant systems, increase performance and power output, and ensure reliable operation within the system's safety margin; for national security applications, ICIS will enable increased protection of our nation's critical infrastructure. In general, ICIS will cost-effectively increase performance for all energy security systems.

  20. On artificial transits feasibility and SETI

    E-Print Network [OSTI]

    Luc Arnold

    2005-09-15

    It is known that the shape of a planet (oblateness, rings, etc.) slightly modifies the shape of the transit light curve. The forthcoming space missions (Corot, Kepler), able to detect the transit of Earth-like planets, could a fortiori also detect the transit of artificial planet-size objects if their shape is significantly different from a natural (planetary) object. Multiple artificial objects would also produce transit light curves easily recognizable from natural transits. Artificial transits, especially of multiple objects, could be used for the transmission of clear attention-getting signals, with a sky coverage (efficiency) comparable to that of the laser pulse method. Although out of reach of current human technologies, the building of an Earth-size 1-micron thick mask would require energy and bulk material amounts already managed on Earth today. The migration of the mask toward an inner orbit and its protection against asteroids or meteoroids are also briefly discussed.

  1. On modeling and controlling intelligent systems

    SciTech Connect (OSTI)

    Dress, W.B.

    1993-11-01

    The aim of this paper is to show how certain diverse and advanced techniques of information processing and system theory might be integrated into a model of an intelligent, complex entity capable of materially enhancing an advanced information management system. To this end, we first examine the notion of intelligence and ask whether a semblance thereof can arise in a system consisting of ensembles of finite-state automata. Our goal is to find a functional model of intelligence in an information-management setting that can be used as a tool. The purpose of this tool is to allow us to create systems of increasing complexity and utility, eventually reaching the goal of an intelligent information management system that provides and anticipates needed data and information. We base our attempt on the ideas of general system theory where the four topics of system identification, modeling, optimization, and control provide the theoretical framework for constructing a complex system that will be capable of interacting with complex systems in the real world. These four key topics are discussed within the purview of cellular automata, neural networks, and evolutionary programming. This is a report of ongoing work, and not yet a success story of a synthetic intelligent system.

  2. Analysis of data virtualization & enterprise data standardization in business intelligence

    E-Print Network [OSTI]

    Pullokkaran, Laijo John

    2013-01-01

    Business Intelligence is an essential tool used by enterprises for strategic, tactical and operational decision making. Business Intelligence most often needs to correlate data from disparate data sources to derive insights. ...

  3. Intelligent Light Control using Sensor Networks Vipul Singhvi

    E-Print Network [OSTI]

    Murphy, Robert F.

    Intelligent Light Control using Sensor Networks Vipul Singhvi Civil Engineering Dept. Carnegie as an intelligent lighting control strategy that significantly reduces energy cost. Our approach is based sensor networks to optimize the trade- off between fulfilling different occupants' light preferences

  4. HandSkates : an apparatus for physically intelligent exercise

    E-Print Network [OSTI]

    Smith, Benjamin D. (Benjamin David), 1983-

    2005-01-01

    Physical Intelligence refers to the ability of the human organism to smartly and precisely coordinate its internal components and interactions in its environment to solve physically complex tasks. While Physical Intelligence ...

  5. Intelligence-policy relations and the problem of politicization

    E-Print Network [OSTI]

    Rovner, Joshua Randall

    2008-01-01

    A growing literature in international relations theory explores how domestic institutions filter and mediate international signals. The study of intelligence-policy relations fits naturally into this mold, because intelligence ...

  6. Intelligence by Design: Principles of Modularity and Coordination for Engineerin

    E-Print Network [OSTI]

    Bryson, Joanna J.

    2001-09-01

    All intelligence relies on search --- for example, the search for an intelligent agent's next action. Search is only likely to succeed in resource-bounded agents if they have already been biased towards finding the right ...

  7. Smart Pneumatic Artificial Muscle Actuator with Embedded Microfluidic Sensing

    E-Print Network [OSTI]

    Park, Yong-Lae

    Smart Pneumatic Artificial Muscle Actuator with Embedded Microfluidic Sensing Yong-Lae Park1 materials cannot be employed for large strains. In this paper, we propose a smart artificial pneumatic

  8. THE CHOICE OF OPTIMAL STRUCTURE OF ARTIFICIAL NEURAL NETWORK CLASSIFIER INTENDED FOR CLASSIFICATION OF WELDING FLAWS

    SciTech Connect (OSTI)

    Sikora, R.; Chady, T.; Baniukiewicz, P.; Caryk, M.; Piekarczyk, B. [West Pomeranian University of Technology in Szczecin, Department of Electrical Engineering, 70-313 Szczecin (Poland)

    2010-02-22

    Nondestructive testing and evaluation are under continuous development. Currently researches are concentrated on three main topics: advancement of existing methods, introduction of novel methods and development of artificial intelligent systems for automatic defect recognition (ADR). Automatic defect classification algorithm comprises of two main tasks: creating a defect database and preparing a defect classifier. Here, the database was built using defect features that describe all geometrical and texture properties of the defect. Almost twenty carefully selected features calculated for flaws extracted from real radiograms were used. The radiograms were obtained from shipbuilding industry and they were verified by qualified operator. Two weld defect's classifiers based on artificial neural networks were proposed and compared. First model consisted of one neural network model, where each output neuron corresponded to different defect group. The second model contained five neural networks. Each neural network had one neuron on output and was responsible for detection of defects from one group. In order to evaluate the effectiveness of the neural networks classifiers, the mean square errors were calculated for test radiograms and compared.

  9. Risk Estimation; Background Radiation (Natural and Artificial )

    E-Print Network [OSTI]

    Massey, Thomas N.

    . · This is necessary to obtain reasonable statistics on these rare events of radiation effects at low dose is based artificial and natural · response to low-level radiation. · personal background radiation level. #12;An Organism's Response to Radiation · The dose response can be linear or nonlinear and threshold or non

  10. Articial Intelligence for Engineering, Design, Analysis and Manufacturing

    E-Print Network [OSTI]

    Fox, Mark S.

    ://journals.cambridge.org/AIE Additional services for Articial Intelligence for Engineering, Design, Analysis and Manufacturing: EmailArticial Intelligence for Engineering, Design, Analysis and Manufacturing http Intelligence for Engineering, Design, Analysis and Manufacturing / Volume 11 / Issue 04 / September 1997, pp

  11. Intelligent Transformer Monitoring System Utilizing Neuro-Fuzzy

    E-Print Network [OSTI]

    Intelligent Transformer Monitoring System Utilizing Neuro-Fuzzy Technique Approach Intelligent Center Intelligent Transformer Monitoring System Utilizing Neuro-Fuzzy Technique Approach Final Project transformers and circuit breakers off-line, in order to assess whether the equipment is operating normally

  12. The Danger Theory and Its Application to Artificial Immune Systems

    E-Print Network [OSTI]

    Somayaji, Anil

    The Danger Theory and Its Application to Artificial Immune Systems Uwe Aickelin1 , Steve Cayzer.aickelin@bradford.ac.uk, Steve_Cayzer@hp.com artificial immune systems, danger theory Over the last decade, a new idea the Danger Theory. In this conceptual paper, we look at this theory from the perspective of Artificial Immune

  13. Lung, Artificial: Basic Principles and Current Applications William J. Federspiel

    E-Print Network [OSTI]

    Federspiel, William J.

    Lung, Artificial: Basic Principles and Current Applications William J. Federspiel Kristie A. Henchir University of Pittsburgh, Pittsburgh, Pennsylvania, U.S.A. INTRODUCTION Artificial lungs currently of the lung, which is to oxygenate the blood and remove carbon dioxide. Current artificial lungs are also

  14. Evaluation of Plasma Resistant Hollow Fiber Membranes For Artificial Lungs

    E-Print Network [OSTI]

    Federspiel, William J.

    Evaluation of Plasma Resistant Hollow Fiber Membranes For Artificial Lungs HEIDE J. EASH,* HEATHER in artificial lungs (ox- ygenators) undergo plasma leakage (or wetting) in which blood plasma slowly fills2 gas permeance of a plasma resistant fiber imposes the greatest constraint upon artificial lung

  15. Chaotic time series prediction using artificial neural networks

    SciTech Connect (OSTI)

    Bartlett, E.B.

    1991-12-31

    This paper describes the use of artificial neural networks to model the complex oscillations defined by a chaotic Verhuist animal population dynamic. A predictive artificial neural network model is developed and tested, and results of computer simulations are given. These results show that the artificial neural network model predicts the chaotic time series with various initial conditions, growth parameters, or noise.

  16. Chaotic time series prediction using artificial neural networks

    SciTech Connect (OSTI)

    Bartlett, E.B.

    1991-01-01

    This paper describes the use of artificial neural networks to model the complex oscillations defined by a chaotic Verhuist animal population dynamic. A predictive artificial neural network model is developed and tested, and results of computer simulations are given. These results show that the artificial neural network model predicts the chaotic time series with various initial conditions, growth parameters, or noise.

  17. Intelligent emissions controller for substance injection in the post-primary combustion zone of fossil-fired boilers

    DOE Patents [OSTI]

    Reifman, Jaques (Western Springs, IL); Feldman, Earl E. (Willowbrook, IL); Wei, Thomas Y. C. (Downers Grove, IL); Glickert, Roger W. (Pittsburgh, PA)

    2003-01-01

    The control of emissions from fossil-fired boilers wherein an injection of substances above the primary combustion zone employs multi-layer feedforward artificial neural networks for modeling static nonlinear relationships between the distribution of injected substances into the upper region of the furnace and the emissions exiting the furnace. Multivariable nonlinear constrained optimization algorithms use the mathematical expressions from the artificial neural networks to provide the optimal substance distribution that minimizes emission levels for a given total substance injection rate. Based upon the optimal operating conditions from the optimization algorithms, the incremental substance cost per unit of emissions reduction, and the open-market price per unit of emissions reduction, the intelligent emissions controller allows for the determination of whether it is more cost-effective to achieve additional increments in emission reduction through the injection of additional substance or through the purchase of emission credits on the open market. This is of particular interest to fossil-fired electrical power plant operators. The intelligent emission controller is particularly adapted for determining the economical control of such pollutants as oxides of nitrogen (NO.sub.x) and carbon monoxide (CO) emitted by fossil-fired boilers by the selective introduction of multiple inputs of substances (such as natural gas, ammonia, oil, water-oil emulsion, coal-water slurry and/or urea, and combinations of these substances) above the primary combustion zone of fossil-fired boilers.

  18. Partitioning networks into communities by message passing MOE-Microsoft Laboratory for Intelligent Computing and Intelligent Systems,

    E-Print Network [OSTI]

    Nardini, Christine

    for Intelligent Computing and Intelligent Systems, Department of Computer Science and Engineering, Shanghai Jiao and Intelligent Systems, Department of Computer Science and Engineering, Shanghai Jiao Tong University, 800 Dong of Computational Biology, CAS-MPG Partner Institute for Computational Biology, Chinese Academy of Sciences, 320 Yue

  19. Decomposition Techniques for Learning Graphical Models

    E-Print Network [OSTI]

    Refaat, Khaled

    2015-01-01

    Workshop on Artificial Intelligence and Statistics, pp. 112–Lectures on Artificial Intelligence and Machine Learning.on Uncertainty in Artificial Intelligence. Thiesson, B. ,

  20. Robust Decision Making with the Same-Decision Probability

    E-Print Network [OSTI]

    Chen, Suming Jeremiah

    2015-01-01

    Conference on Artificial Intelligence and Statistics, pp.Conference on Artificial Intelligence (IJCAI), pp. 985–991,reasoning. ” Artificial Intelligence, 82:273 – 302, 1996. [

  1. Front-To-End Bidirectional Heuristic Search

    E-Print Network [OSTI]

    Barker, Joseph Kelly

    2015-01-01

    Search Algorithm. ” Artificial Intelligence, 172(4):514–540,Conference on Artificial Intelligence, pp. 634–639, 2009.Conference on Artificial Intelligence, ECAI’2004, including

  2. INTELLIGENT HANDLING OF WEATHER FORECASTS Stephan Kerpedjiev

    E-Print Network [OSTI]

    , discourse and semantic. They are based on a conceptual model underlying weather forecasts as well situations represented in the form of texts in NL, weather maps, data tables or combined information objectsINTELLIGENT HANDLING OF WEATHER FORECASTS Stephan Kerpedjiev I n s t i t u t e of Mathematics Acad

  3. Bright and dark sides of computational intelligence

    E-Print Network [OSTI]

    Wilamowski, Bogdan Maciej

    Bright and dark sides of computational intelligence Bogdan M. Wilamowski Auburn University positive and negative values and the resulted neuron excitation net is calculated as a sum of products of incoming signals multiplied by weights: xw=net ii n =1i (1) k net out netk-+1 1 =f(net)=out exp Fig. 2

  4. Intelligent Traffic Light Control Marco Wiering

    E-Print Network [OSTI]

    Utrecht, Universiteit

    an adaptive optimization al- gorithm based on reinforcement learning. We have implemented a traffic light different traffic light controllers. Experimental results indicate that our adaptive traffic lightIntelligent Traffic Light Control Marco Wiering Jelle van Veenen Jilles Vreeken Arne Koopman

  5. FUTURE POWER GRID INITIATIVE Intelligent Networked Sensors

    E-Print Network [OSTI]

    FUTURE POWER GRID INITIATIVE Intelligent Networked Sensors Capable of Autonomous, Adaptive from the rest of the power grid and reconnect and synchronize without loss of functionality FOCUS AREA Power Grid Initiative (FPGI) will deliver next-generation concepts and tools for grid operation

  6. TECHNISCHE UNIVERSIT AT DORTMUND REIHE COMPUTATIONAL INTELLIGENCE

    E-Print Network [OSTI]

    Witt, Carsten

    Intelligence Methods Runtime Analysis of Binary PSO Dirk Sudholt, Carsten Witt No. CI-241/08 Technical Report with financial support of the Deutsche Forschungsgemeinschaft. #12;#12;Runtime Analysis of Binary PSO Dirk investigate the runtime of the Binary Particle Swarm Optimiza- tion (PSO) algorithm introduced by Kennedy

  7. Copyright 2005 POSC Intelligent Oilfield Operations

    E-Print Network [OSTI]

    Brock, David

    Copyright © 2005 POSC WITSMLTM and Intelligent Oilfield Operations David Archer MIT Data Center M-Alliance POSC Source: Downes & Mui, "Unleashing the Killer App" #12;Oil fields of the future: real-time oil, London Members + SIG Members: > 80 Oil BP, ChevronTexaco, ExxonMobil, Hydro, ONGC, Pioneer, Shell

  8. Artificial neural network cardiopulmonary modeling and diagnosis

    DOE Patents [OSTI]

    Kangas, Lars J. (Richland, WA); Keller, Paul E. (Richland, WA)

    1997-01-01

    The present invention is a method of diagnosing a cardiopulmonary condition in an individual by comparing data from a progressive multi-stage test for the individual to a non-linear multi-variate model, preferably a recurrent artificial neural network having sensor fusion. The present invention relies on a cardiovascular model developed from physiological measurements of an individual. Any differences between the modeled parameters and the parameters of an individual at a given time are used for diagnosis.

  9. Artificial neural network cardiopulmonary modeling and diagnosis

    DOE Patents [OSTI]

    Kangas, L.J.; Keller, P.E.

    1997-10-28

    The present invention is a method of diagnosing a cardiopulmonary condition in an individual by comparing data from a progressive multi-stage test for the individual to a non-linear multi-variate model, preferably a recurrent artificial neural network having sensor fusion. The present invention relies on a cardiovascular model developed from physiological measurements of an individual. Any differences between the modeled parameters and the parameters of an individual at a given time are used for diagnosis. 12 figs.

  10. The systems engineering of a network-centric distributed intelligent system of systems for robust human behavior classifications

    E-Print Network [OSTI]

    Goshorn, Deborah Ellen

    2010-01-01

    plemented includes an intelligent sensor network, requiredto create an intelligent sensor, there is the ability ofwithin a single intelligent sensor. Choosing the underlying

  11. Ambient intelligence and wearable computing: Sensors on the body, in the home,

    E-Print Network [OSTI]

    Cook, Diane J.

    Ambient intelligence and wearable computing: Sensors on the body, in the home, and beyond Diane J in wearable com- puting and ambient intelligence. Keywords: Wearable sensors, wearable computing, body area], and intelligent [18]. Ambient intelligence is often associated with intelligent sensors and software em- bedded

  12. Final Draft Published in Engineering Intelligent Systems, Special issue: Artificial Intelligence Applications and Innovations 2010, vol. 18, no. 3/4, 2010.

    E-Print Network [OSTI]

    Athens, University of

    Applications and Innovations 2010, vol. 18, no. 3/4, 2010. A Contourlet Transform Feature Extraction Scheme-time data acquisition, low cost, absence of any side effects and high resolution imaging. Thus glands in the body. It is located in the lower part of the neck, below the Adam's apple, and has

  13. Generalized Intelligent States for Nonlinear Oscillators

    E-Print Network [OSTI]

    A. H. El Kinani; M. Daoud

    2003-12-13

    The construction of Generalized Intelligent States (GIS) for the $x^4$% -anharmonic oscillator is presented. These GIS families are required to minimize the Robertson-Schr\\"odinger uncertainty relation. As a particular case, we will get the so-called Gazeau-Klauder coherent states. The properties of the latters are discussed in detail. Analytical representation is also considered and its advantage is shown in obtaining the GIS in an analytical way. Further extensions are finally proposed.

  14. Intelligent systems for the molecular biologist

    SciTech Connect (OSTI)

    Brutlag, D.L.

    1995-12-31

    This tutorial was one of eight tutorials selected to be presented at the Third International Conference on Intelligent Systems for Molecular Biology which was held in the United Kingdom from July 16 to 19, 1995. In this paper, one objective is to identify properties of DNA sequences that determine their function, by computer-aided statistical analysis and to accurately predict its function, given a new sequence. A related problem is to predict protein structure and function from the sequence.

  15. PRISM: Planning a Center for Perceptual Robotics, Intelligent Sensors and Machines

    E-Print Network [OSTI]

    Zhu, Zhigang

    PRISM: Planning a Center for Perceptual Robotics, Intelligent Sensors and Machines Jizhong (John of the Center for Perceptual Robotics, Intelligent Sensors and Machines (PRISM) in order to enhance) Intelligent Sensors (multimodal sensors for target recognition, subject tracking, and event understanding

  16. Architectural Robotics: Unpacking the In most projections of intelligent environments, the

    E-Print Network [OSTI]

    Architectural Robotics: Unpacking the Humanoid Abstract In most projections of intelligent, a posteriori, augmenting the underlying architectural morphology with suites of sensors, processors, and associated intelligence. Additionally, numerous researchers introduce intelligence into the environment via

  17. Artificial Retina Project: Electromagnetic and Thermal Effects

    SciTech Connect (OSTI)

    Lazzi, Gianluca

    2014-08-29

    This award supported the investigation on electromagnetic and thermal effects associated with the artificial retina, designed in collaboration with national laboratories, universities, and private companies. Our work over the two years of support under this award has focused mainly on 1) Design of new telemetry coils for optimal power and data transfer between the implant and the external device while achieving a significant size reduction with respect to currently used coils; 2) feasibility study of the virtual electrode configuration 3) study the effect of pulse shape and duration on the stimulation efficacy.

  18. Fuzzy-Based Intelligent Sensors: Modeling, Design, Application

    E-Print Network [OSTI]

    Benoit, Eric; Foulloy, Laurent; 10.1109/ETFA.2001.997712

    2009-01-01

    This paper presents a modeling of intelligent sensors based on a representation of the sensor by services it uses or it proposes, and by its USer Operating Modes (USOMs). This modeling is used for the definition of the reactive layer of distributed agent based intelligent sensors. Our area of interest is the agent-level layer in which the concept of IIC (Intelligent Instrument Cluster) is defined. An application that uses fuzzy-based intelligent sensors is presented in order to illustrate the concepts.

  19. Security of Foreign Intelligence Information and Sensitive Compartmented Information Facilities

    Broader source: Directives, Delegations, and Requirements [Office of Management (MA)]

    1993-07-23

    The order establishes responsibilities and authorities for protecting Foreign Intelligence Information (FII) and Sensitive Compartmented Information Facilities (SCIFs) within DOE. Supersedes DOE 5639.8.

  20. University of Waterloo Adaptation, Selection, and Intelligent Design

    E-Print Network [OSTI]

    Godfrey, Michael W.

    % dark in 1848, 95% dark in 1898 [Manchester] · Hair colour, tattoos, height ­ Morphological change · DB server, web server, file server; intelligent controllers 3. Pruning, if needed · Three pairs

  1. Report on {open_quotes}inspection of human subject research in intelligence and intelligence-related projects{close_quotes}

    SciTech Connect (OSTI)

    1996-01-16

    Executive Order 12333, {open_quotes}United States Intelligence Activities,{close_quotes} (1) designates the Department`s intelligence element as a member of the Intelligence Community, and (2) states that no agency within the Intelligence community shall sponsor, contract for or conduct research on human subjects except in accordance with guidelines issued by the Department of Health and Human Services. The Federal policy for the Protection of Human Subjects, which was based on Department of Health and Human Services regulations, was promulgated in Title 10 Code of Federal Regulations Part 745 by the Department of Energy. The purpose of this inspection was to review the internal control procedures used by the Office of Nonproliferation and National Security to manage selected intelligence and intelligence-related projects that involve human subject research.

  2. IEEE SYMPOSIUM ON ARTIFICIAL LIFE 1 Using Artificial Organisms To Study The Evolution

    E-Print Network [OSTI]

    Liew, Chun Wai

    in Fish C.W. Liew Dept of Computer Science Lafayette College, Easton, PA 18042 liew methodology for studying how some features evolved in swimming fish. Experiments with the artificial organisms allow us to evaluate the hypothesis that backbones evolved in fish in part because they result in higher

  3. Exercise protocols during short-radius centrifugation for artificial gravity

    E-Print Network [OSTI]

    Edmonds, Jessica Leigh

    2008-01-01

    Long-duration spaceflight results in severe physiological deconditioning, threatening the success of interplanetary travel. Exercise combined with artificial gravity provided by centrifugation may be the comprehensive ...

  4. Can Small Go Big? Microfluidics Aid Quest for Artificial Photosynthesi...

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Can Small Go Big? Microfluidics Aid Quest for Artificial Photosynthesis Basic Energy Sciences (BES) BES Home About Research Facilities Science Highlights Benefits of BES Funding...

  5. Synthetic nanotubes lay foundation for new technology: Artificial...

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Synthetic nanotubes lay foundation for new technology: Artificial pores mimic key features of natural pores By Tona Kunz * July 17, 2012 Tweet EmailPrint Scientists have overcome...

  6. Identity and the pursuit of school success understandings of intelligence and effort in three high schools

    E-Print Network [OSTI]

    Nunn, Lisa Michele

    2009-01-01

    performance in school and performance on intelligence tests.Intelligence and School Performance." Journal of EducationalDifferences in School Performance." American Sociological

  7. System design and dynamic signature identification for intelligent energy management in residential buildings.

    E-Print Network [OSTI]

    Jang, Jaehwi

    2008-01-01

    of commercial energy management systems, IEEE Transactionsfor intelligent energy management systems of resi- dentialin an intelligent energy management system, three approaches

  8. Towards an artificial formate dehydrogenase : : mechanistic studies of formate oxidation and CO? reduction by metal P?N? complexes

    E-Print Network [OSTI]

    Seu, Candace Sachi Wai Mei

    Kubiak, C.P. "Artificial photosynthesis of CO: Kinetic andfor use in the “artificial photosynthesis” of solar fuels,biology-inspired “artificial photosynthesis”, it is worth

  9. Effective Intelligence Operations during Counterinsurgency Campaigns - Intelligence Community in Counterinsurgency: Historical Lessons and Best Practices 

    E-Print Network [OSTI]

    Albers, Andrew C.; Binkley, Samuel G.; Chaudhry, Mariam F.; Craswell, Kimberly; Freeman, Jordan S.; Lytle, Carrie E.; Myers, Tristan L.; Naser, Rami; Sloan, Peter T.

    2009-01-01

    Community in Counterinsurgency: Historical Lessons and Best Practices Andrew C. Albers Samuel G. Binkley Mariam F. Chaudhry Kimberly Craswell Jordan S. Freeman Carrie E... the literature on both the role of intelligence and how counterinsurgency operations are fought and won. We use this literature to create a framework outlining how For helpful comments on this project...

  10. New Frontiers For An Artificial Immune System Julie Greensmith

    E-Print Network [OSTI]

    Aickelin, Uwe

    New Frontiers For An Artificial Immune System Julie Greensmith Digital Media Systems Laboratory HP Laboratories Bristol HPL-2003-204 October 7th , 2003* artificial immune system, document classification on various classification tasks, including data clustering. This thesis proposes the use of this system

  11. Artificial Neural Nets and Cylinder Pressures in Diesel

    E-Print Network [OSTI]

    Sharkey, Amanda

    Artificial Neural Nets and Cylinder Pressures in Diesel Engine Fault Diagnosis * Gopi O diagnosis system for a diesel engine, which uses artificial neural nets to identify faults on the basis cylinder Ruston AP 230, medium speed Diesel engine was simulated. When tested on new data previously unseen

  12. Extracting Provably Correct Rules from Artificial Neural Networks

    E-Print Network [OSTI]

    Clausen, Michael

    Extracting Provably Correct Rules from Artificial Neural Networks Sebastian B. Thrun University procedures have been applied successfully to a variety of real­world scenarios, artificial neural networks that automatically compile neural networks into symbolic rules offer a promising perspective to overcome

  13. Safety Lifecycle for Developing Safety Critical Artificial Neural Networks

    E-Print Network [OSTI]

    Kelly, Tim

    Safety Lifecycle for Developing Safety Critical Artificial Neural Networks Zeshan Kurd, Tim Kelly.kelly}@cs.york.ac.uk Abstract. Artificial neural networks are employed in many areas of industry such as medicine and defence. There are many techniques that aim to improve the performance of neural networks for safety-critical systems

  14. Developmental Plasticity in Cartesian Genetic Programming Artificial Neural Networks

    E-Print Network [OSTI]

    Fernandez, Thomas

    Developmental Plasticity in Cartesian Genetic Programming Artificial Neural Networks Maryam Mahsal developmental plasticity in Artificial Neural Networks using Carte- sian Genetic Programming. This is inspired by developmental plasticity that exists in the biological brain allowing it to adapt to a changing environment

  15. Learning to discriminate complex movements: Biological versus artificial trajectories

    E-Print Network [OSTI]

    Kourtzi, Zoe

    Learning to discriminate complex movements: Biological versus artificial trajectories Laboratory consistent with human movements. A second class of stimuli was based on artificial skeleton models that were on learning has been demonstrated for a broad range of visual tasks ranging from lower level vision tasks like

  16. Human Artificial versus Natural Conceptualization of Spacetime Units Bernd Binder

    E-Print Network [OSTI]

    Binder, Bernd

    to a system of units. Additionally, the definition and measurement of the Newton constant does not involveHuman Artificial versus Natural Conceptualization of Spacetime Units Bernd Binder binder@quanics.com (Dated: 30.12.2003, www.quanics.com) The human international system of units (SI) is an artificial

  17. Human Artificial versus Natural Conceptualization of Spacetime Units Bernd Binder

    E-Print Network [OSTI]

    Binder, Bernd

    of units. Additionally, the definition and measurement of the Newton constant does not involve the lightHuman Artificial versus Natural Conceptualization of Spacetime Units Bernd Binder binder@quanics.com (Dated: 30.12.2003, www.quanics.com) The human international system of units (SI) is an artificial

  18. Biomaterials 28 (2007) 31313139 Towards improved artificial lungs through biocatalysis

    E-Print Network [OSTI]

    Federspiel, William J.

    2007-01-01

    Biomaterials 28 (2007) 3131­3139 Towards improved artificial lungs through biocatalysis Joel L in the development of artificial lungs and respiratory assist devices, which use hollow fiber membranes (HFMs intervention involves the use of mechan- ical ventilators to provide breathing support while the lungs recover

  19. Lung, Artificial: Current Research and Future Directions William J. Federspiel

    E-Print Network [OSTI]

    Federspiel, William J.

    Lung, Artificial: Current Research and Future Directions William J. Federspiel Robert G. Svitek University of Pittsburgh, Pittsburgh, Pennsylvania, U.S.A. INTRODUCTION Artificial lungs are medical devices designed to take over or supplement the respiratory function of the lung: oxygenating the blood

  20. RETURN TO THE RIVER -2000 Chapter 8 Artificial Production304304

    E-Print Network [OSTI]

    RETURN TO THE RIVER - 2000 Chapter 8 Artificial Production304304 Return to Table of Contents Go to Next Chapter CHAPTER 8. ARTIFICIAL PRODUCTION AND THE EFFECTS OF FISH CULTURE ON NATIVE SALMONIDS largely on hatchery production, with no overt and large scale ecosystem-level recovery program is doomed

  1. LUABAB: Leeds University Angry Birds Artificial Brain Brandon Bennett

    E-Print Network [OSTI]

    Bennett, Brandon

    LUABAB: Leeds University Angry Birds Artificial Brain Brandon Bennett University of Leeds United Kingdom B.Bennett@leeds.ac.uk Abstract This document gives an overview of the develop- ment and design principles behind LUABAB, the Leeds University Angry Birds Artificial Brain. 1 Background There is a long

  2. Technical Report UIUCBIAI9404, 1994 (submitted to the Journal of Artificial Intelligence) A Decisiontheoretic Approach to Adaptive Problem Solving

    E-Print Network [OSTI]

    Gratch, Jonathan

    A Decision­theoretic Approach to Adaptive Problem Solving Jonathan Gratch and Gerald DeJong Beckman Institute that it is desirable, and possible, to construct general problem solving techniques that automatically adapt to the characteristics of a specific application. Adaptive problem solving is a meansof reconciling two seemingly

  3. Annals of Mathematics and Artificial Intelligence (2005) 43: 134 Springer 2004 On SAT instance classes and a method for reliable

    E-Print Network [OSTI]

    Stallmann, Matt

    2005-01-01

    of hardware components such as lightbulbs, A/C units, etc. A batch of N replicated hardware components

  4. In Proceedings of the 28th Conference on Artificial Intelligence (AAAI 2014), Quebec City, Quebec, Canada, July 2014.

    E-Print Network [OSTI]

    Stone, Peter

    . The Power Trading Agent Competition (Power TAC) is a new annual competition that focuses on the design resources (wind, solar, tidal, etc.): these resources do not produce power on demand. As a result, energy retail power market designs and related automation technologies. It sim­ ulates a future smart grid

  5. In Proceedings of the 28th Conference on Artificial Intelligence (AAAI 2014), Quebec City, Quebec, Canada, July 2014.

    E-Print Network [OSTI]

    Stone, Peter

    . The Power Trading Agent Competition (Power TAC) is a new annual competition that focuses on the design resources (wind, solar, tidal, etc.): these resources do not produce power on demand. As a result, energy retail power market designs and related automation technologies. It sim- ulates a future smart grid

  6. In K. Tuyls, et al, editors, LAMAS 2005, Lecture Notes In Artificial Intelligence, Springer Verlag, Berlin, 2006.

    E-Print Network [OSTI]

    Stone, Peter

    spent waiting in traffic has increased from 16 hours per capita to 46 hours per capita since 1982. In the same period, the annual financial cost of traffic congestion has swollen from $14 billion to more than

  7. In Proceedings of the Eleventh Annual Conference on Uncertainty in Artificial Intelligence, Montreal, Quebec, Canada, August 18-20, 1995

    E-Print Network [OSTI]

    Poole, David

    , Montreal, Quebec, Canada, August 18-20, 1995 Acknowledgements This work was supported by Institute. [Boutilier et al., 1995] C. Boutilier, R. Dearden, and M. Goldszmidt. Exploiting structure in policy construc, 1995. [Cassandra et al., 1994] A. R. Cassandra, L. Pack Kae- bling, and M. L. Littman. Acting optimally

  8. In: STeP 2000 Millenium of Artificial Intelligence, Proceedings of the 9 Finnish AI Conference. Publications of

    E-Print Network [OSTI]

    Hyvönen, Eero

    TO GENERATION REJECTION IN ELECTRICAL POWER UTILITY Steve Chan and Eero Hyvönen* Hydro One Inc., Toronto to a generation rejection problem in an electrical power utility. In the following, the problem is first.1 Characterization of the problem In an electrical power network where the power generation resources

  9. State of the Art of Artificial Intelligence and Predictive Analytics in the E&P Industry: A Technology Survey

    E-Print Network [OSTI]

    Mohaghegh, Shahab

    somehow engaged in applying workflow automation, automatic process control, rule-based case reasoning, data mining, proxy models, and virtual environments; (c) production is the area most impacted

  10. Appears in the Proceedings of the International Symposium on Artificial Intelligence, Robotics, and Automation for Space, Turin, Italy, September, 2012.

    E-Print Network [OSTI]

    Schaffer, Steven

    Flatley(3) (1) Jet Propulsion Laboratory, California Institute of Technology, 4800 Oak Grove Drivecm. To support it's primary flight software, IPEX carries a 200MHz Atmel ARM9 CPU with 128MB RAM, 512

  11. Appears in Proc. Intl Symposium on Artificial Intelligence, Robotics, and Automation for Space, 2014, Montreal, Canada. European Space Agency.

    E-Print Network [OSTI]

    Schaffer, Steven

    Baumgarten**, Austin Williams**, Edmund Yee**, Daniel Fluitt, **Eric Stanton**, Jordi Piug-Suari** * Jet CPU (no hardware floating point) with 128MB RAM, 512MB flash memory, a 16 GB Micro SD card

  12. Journal of Electronic Commerce Research, VOL. 1, NO. 4, 2000 INTELLIGENT AGENTS ACTING AS ARTIFICIAL EMPLOYEES IN AN

    E-Print Network [OSTI]

    Moraitis, Pavlos

    representing their actors' interests. More specifically, beyond just requesting and proposing an offer, agents interactive multiple criteria decision making tool that can handle incomplete, inconsistent and conflicting in an electronic market (for a survey, see [Guttman et al. 1998]). There is already a plethora of systems

  13. Strategic Management for Real-Time Business Intelligence

    E-Print Network [OSTI]

    Palpanas, Themis

    Strategic Management for Real-Time Business Intelligence Konstantinos Zoumpatianos, Themis Palpanas directions. 1 Introduction Strategic Management (SM) is concerned with the continuous evaluation and control-Verlag Berlin Heidelberg 2013 #12;Strategic Management for Real-Time Business Intelligence 119 occur and keep

  14. Intelligent Predictive Control Methods for Synchronous Power System

    E-Print Network [OSTI]

    Rizvi, Syed Z.

    @kfupm.edu.sa Abstract--In this paper, an intelligent Model Predictive Con- troller (MPC) for a Synchronous Power Machine of a Single synchronous Machine on Infinite Bus (SMIB) has been one of the most important problems for powerIntelligent Predictive Control Methods for Synchronous Power System Muhammad S. Yousuf Electrical

  15. UncorrectedProof Computational Intelligence in Racing Games

    E-Print Network [OSTI]

    Togelius, Julian

    the evolution of different types of car controllers, modelling of players' driving styles, evolution of racingUncorrectedProof Computational Intelligence in Racing Games Julian Togelius, Simon M. Lucas- tionary algorithms and other forms of computational intelligence to various aspects of racing games. We

  16. Interim Progress Report: Intelligent Control Architectures for Unmanned Air Vehicles

    E-Print Network [OSTI]

    Sastry, S. Shankar

    Interim Progress Report: Intelligent Control Architectures for Unmanned Air Vehicles S. S. Sastry is concerned with the design and evaluation of Intelligent Control Architectures for Unmanned Air Vehicles sections de­ scribe our progress on the three research thrusts identified in our proposal. Section 5

  17. A Bayesian Decision Model for Intelligent Routing in Sensor Networks

    E-Print Network [OSTI]

    Marques, Antonio Garcia

    A Bayesian Decision Model for Intelligent Routing in Sensor Networks Roc´io Arroyo-Valles, Antonio are considered in a Bayesian model in order to establish intelligent decision rules that make the network economize in crucial resources. I. INTRODUCTION Recent advances in sensor technology and wireless com

  18. INTELLIGENT SENSOR VALIDATION AND SENSOR FUSION FOR RELIABILITY AND SAFETY

    E-Print Network [OSTI]

    Agogino, Alice M.

    1 INTELLIGENT SENSOR VALIDATION AND SENSOR FUSION FOR RELIABILITY AND SAFETY ENHANCEMENT IN VEHICLE #12;2 Intelligent Sensor Validation and Sensor Fusion for Reliability and Safety Enhancement acknowledge the help of PATH engineers Pete Devlin, Seibum Choi, and Leon Chen. II. Keywords Sensor Validation

  19. Building Intelligent Sensor Networks With Multiagent Graphical Models

    E-Print Network [OSTI]

    Xiang, Yang

    Building Intelligent Sensor Networks With Multiagent Graphical Models Yang Xiang University of these agents as well as the sensors that they manage forms an intelligent sensor network. The task to process: what is the small set of devices that is highly likely the culprit of abnormality? A sensor network

  20. Bio-inspired Design of Intelligent Materials Minoru Taya*

    E-Print Network [OSTI]

    Taya, Minoru

    Bio-inspired Design of Intelligent Materials Minoru Taya* , Professor and Director Center for Intelligent Materials and Systems Department of Mechanical Engineering University of Washington, Box 352600 Seattle, WA 98195-2600 ABSTRACT Several examples of sensors and actuators inherent in biological species

  1. Intelligent Storage Consortium A Center of the Institute of Technology

    E-Print Network [OSTI]

    Minnesota, University of

    Intelligent Storage Consortium A Center of the Institute of Technology MEMBERSHIP ADVANTAGES I opportunities MISSION Explores pre-competitive development of intelligent object-based storage systems I, and public sector I OBJECTS INTERCONNECT STORAGE DEVICE BLOCKS FILE SYSTEM FILE SYSTEM USER COMPONENT FILE

  2. Intelligent Assistants for Filling Critical Gaps in GIS

    E-Print Network [OSTI]

    California at Santa Barbara, University of

    Intelligent Assistants for Filling Critical Gaps in GIS A Research Program April 1992 David Lanter, Intelligent Assistants for Filling Critical Gaps In GIS, was sponsored by Southern California Edison Company: · An analysis of critical gaps in current geographic information systems (GIS) that impede their use for spatial

  3. Communication Systems: A Unified Model of Socially Intelligent Systems

    E-Print Network [OSTI]

    Rovatsos, Michael

    Communication Systems: A Unified Model of Socially Intelligent Systems Matthias Nickles, Michael communication systems (CS) as a unified model for socially intelligent systems. This model derived from sociological systems theory, combines the empirical analysis of communication in a social system with logical

  4. Intelligent Efficiency: the Next Generation of Energy Efficiency 

    E-Print Network [OSTI]

    Trombley,D.; Molina, M.; Elliot, R. N.

    2012-01-01

    , there will be a structural change in how we use energy. This paper explores the next generation of energy efficiency: what we call intelligent efficiency. Building on recent work in this area, this paper will define intelligent efficiency and provide specific case...

  5. Smart Grid Impact on Intelligent Buildings 

    E-Print Network [OSTI]

    Zimmer, R. J.

    2013-01-01

    ?and?applications?that?go?well? beyond??smart??meters?for?homes?and?business Source:?NIST?Framework?and?Roadmap?for? Smart?Grid?Interoperability?Standards? Release?1.0?(Draft),?September?2009. Source:?CABA?s?Smart?Grid?Impact?on? Intelligent?Buildings 7 Building Management System...?profile? ? The?energy?consumption?will?be? monitored?and?system?faults?identified? ? Usage?data?will?be?available?every?5?? 30? minutes ? Many?different?software?packages?are? available?to?be?linked?to?the?client?s?BMS? ? DR2?is?mostly?automated? ? There...

  6. US, Russian intelligence agencies offer proliferation assessments

    SciTech Connect (OSTI)

    Wolfsthal, J.B.

    1993-03-01

    The CIA outlined for the Senate Governmental Affairs Committee (February 24, 1993) the prospects for the spread of nuclear, chemical, and biological weapons and ballistic missiles in the aftermath of the Cold War. The testimony came less than one month after the Russian Foreign Intelligence Service released an 118-page report that also stressed the importance of preventing proliferation of weapons of mass destruction. CIA testimony and the FIS report both provided details on several states of proliferation concern, including North Korea, Iran, India, and Pakistan.

  7. Robotic Intelligent System | GE Global Research

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power Administration wouldMassR&D100NationalquestionnairesDrought-inducedPhotoRoboRAVE bringsIntelligent

  8. Robotics - Intelligence Kernel - Energy Innovation Portal

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power Administration wouldMassR&D100NationalquestionnairesDrought-inducedPhotoRoboRAVERobotics - Intelligence

  9. Enhancement of artificial magnetism via resonant bianisotropy

    E-Print Network [OSTI]

    Markovich, Dmitry; Shalin, Alexander; Samusev, Anton; Krasnok, Alexander; Belov, Pavel; Ginzburg, Pavel

    2015-01-01

    All-dielectric "magnetic light" nanophotonics based on high refractive index nanoparticles allows controlling magnetic component of light at nanoscale without having high dissipative losses. The artificial magnetic optical response of such nanoparticles originates from circular displacement currents excited inside those structures and strongly depends on geometry and dispersion of optical materials. Here a new approach for increasing magnetic response via resonant bianisotropy effect is proposed and analyzed. The key mechanism of enhancement is based on electric-magnetic interaction between two electrically and magnetically resonant nanoparticles of all-dielectric dimer nanoantenna. It was shown that proper geometrical arrangement of the dimer in respect to the incident illumination direction allows flexible control over all vectorial components of magnetic polarizability, tailoring the later in the dynamical range of 100 % and enhancement up to 36 % relative to performances of standalone spherical particles....

  10. Predictability of PV power grid performance on insular sites without weather stations: use of artificial neural networks

    E-Print Network [OSTI]

    Voyant, Cyril; Paoli, Christophe; Nivet, Marie Laure; Poggi, Philippe; Haurant, P; 10.4229/24thEUPVSEC2009-5BV.2.35

    2010-01-01

    The official meteorological network is poor on the island of Corsica: only three sites being about 50 km apart are equipped with pyranometers which enable measurements by hourly and daily step. These sites are Ajaccio (41\\degree 55'N and 8\\degree 48'E, seaside), Bastia (42\\degree 33'N, 9\\degree 29'E, seaside) and Corte (42\\degree 30'N, 9\\degree 15'E average altitude of 486 meters). This lack of weather station makes difficult the predictability of PV power grid performance. This work intends to study a methodology which can predict global solar irradiation using data available from another location for daily and hourly horizon. In order to achieve this prediction, we have used Artificial Neural Network which is a popular artificial intelligence technique in the forecasting domain. A simulator has been obtained using data available for the station of Ajaccio that is the only station for which we have a lot of data: 16 years from 1972 to 1987. Then we have tested the efficiency of this simulator in two places w...

  11. Intelligent hand-portable proliferation sensing system

    SciTech Connect (OSTI)

    Dieckman, S.L.; Bostrom, G.A.; Waterfield, L.G.; Jendrzejczyk, J.A.; Ahuja, S.; Raptis, A.C.

    1997-08-01

    Argonne National Laboratory, with support from DOE`s Office of Nonproliferation and National Security, is currently developing an intelligent hand-portable sensor system. This system is designed specifically to support the intelligence community with the task of in-field sensing of nuclear proliferation and related activities. Based upon pulsed laser photo-ionization time-of-flight mass spectrometry technology, this novel sensing system is capable of quickly providing a molecular or atomic analysis of specimens. The system is capable of analyzing virtually any gas phase molecule, or molecule that can be induced into the gas phase by (for example) sample heating. This system has the unique advantages of providing unprecedented portability, excellent sensitivity, tremendous fieldability, and a high performance/cost ratio. The system will be capable of operating in a highly automated manner for on-site inspections, and easily modified for other applications such as perimeter monitoring aboard a plane or drone. The paper describes the sensing system.

  12. Intelligent Component Monitoring for Nuclear Power Plants

    SciTech Connect (OSTI)

    Lefteri Tsoukalas

    2010-07-30

    Reliability and economy are two major concerns for a nuclear power generation system. Next generation nuclear power reactors are being developed to be more reliable and economic. An effective and efficient surveillance system can generously contribute toward this goal. Recent progress in computer systems and computational tools has made it necessary and possible to upgrade current surveillance/monitoring strategy for better performance. For example, intelligent computing techniques can be applied to develop algorithm that help people better understand the information collected from sensors and thus reduce human error to a new low level. Incidents incurred from human error in nuclear industry are not rare and have been proven costly. The goal of this project is to develop and test an intelligent prognostics methodology for predicting aging effects impacting long-term performance of nuclear components and systems. The approach is particularly suitable for predicting the performance of nuclear reactor systems which have low failure probabilities (e.g., less than 10-6 year-). Such components and systems are often perceived as peripheral to the reactor and are left somewhat unattended. That is, even when inspected, if they are not perceived to be causing some immediate problem, they may not be paid due attention. Attention to such systems normally involves long term monitoring and possibly reasoning with multiple features and evidence, requirements that are not best suited for humans.

  13. Accurate profile extraction and mapping by intelligent processing of ultrasonic range

    E-Print Network [OSTI]

    Barshan, Billur

    intelligent processing of raw ultrasonic data. Ultrasonic sensors, when coupled with intelligent processingAccurate profile extraction and mapping by intelligent processing of ultrasonic range data B. Barshan A novel technique is described that employs intelligent processing of multiple ultrasonic range

  14. An Intelligent Systems Approach to Reservoir Characterization

    SciTech Connect (OSTI)

    Shahab D. Mohaghegh; Jaime Toro; Thomas H. Wilson; Emre Artun; Alejandro Sanchez; Sandeep Pyakurel

    2005-08-01

    Today, the major challenge in reservoir characterization is integrating data coming from different sources in varying scales, in order to obtain an accurate and high-resolution reservoir model. The role of seismic data in this integration is often limited to providing a structural model for the reservoir. Its relatively low resolution usually limits its further use. However, its areal coverage and availability suggest that it has the potential of providing valuable data for more detailed reservoir characterization studies through the process of seismic inversion. In this paper, a novel intelligent seismic inversion methodology is presented to achieve a desirable correlation between relatively low-frequency seismic signals, and the much higher frequency wireline-log data. Vertical seismic profile (VSP) is used as an intermediate step between the well logs and the surface seismic. A synthetic seismic model is developed by using real data and seismic interpretation. In the example presented here, the model represents the Atoka and Morrow formations, and the overlying Pennsylvanian sequence of the Buffalo Valley Field in New Mexico. Generalized regression neural network (GRNN) is used to build two independent correlation models between; (1) Surface seismic and VSP, (2) VSP and well logs. After generating virtual VSP's from the surface seismic, well logs are predicted by using the correlation between VSP and well logs. The values of the density log, which is a surrogate for reservoir porosity, are predicted for each seismic trace through the seismic line with a classification approach having a correlation coefficient of 0.81. The same methodology is then applied to real data taken from the Buffalo Valley Field, to predict inter-well gamma ray and neutron porosity logs through the seismic line of interest. The same procedure can be applied to a complete 3D seismic block to obtain 3D distributions of reservoir properties with less uncertainty than the geostatistical estimation methods. The intelligent seismic inversion method should help to increase the success of drilling new wells during field development.

  15. Characterization of Shape Memory Alloys Using Artificial Neural Networks 

    E-Print Network [OSTI]

    Henrickson, James V

    2014-04-28

    shape memory alloy material parameters with satisfactory accuracy. Comparison of the implemented training data generation methods indicates that the Taguchi-based approach yields an artificial neural network that outperforms that of the factorial...

  16. Hunting a robot controlled by an artificial brain

    E-Print Network [OSTI]

    Visser, Arnoud

    In this demonstration an Raspberry Pi robot, controlled by an artificial brain which simulates the 302 neurons on the GoPiGo robot board1 . The demonstration is based on the later robot, which consists of a Raspberry Pi

  17. Flexible Electronics Could Find Applications As Sensors, Artificial Muscles

    E-Print Network [OSTI]

    Rogers, John A.

    Flexible Electronics Could Find Applications As Sensors, Artificial Muscles Science Daily -- Flexible electronic structures with the potential to bend, expand and manipulate electronic devices. In addition to a biomedical impact, flexible electronics are important for energy technology as flexible

  18. Maintaining artificial recharge ponds under uncertainty: a probabilistic approach for

    E-Print Network [OSTI]

    Politècnica de Catalunya, Universitat

    Maintaining artificial recharge ponds under uncertainty: a probabilistic approach for engineering surface ponds (SP) Clogging What is clogging? Mathematical models for clogging Risk formulation Carlo analysis Conclusions #12;Surface ponds (SP) collect selected external water (e.g. regenerated

  19. Artificial Neural Network Circuit for Spectral Pattern Recognition 

    E-Print Network [OSTI]

    Rasheed, Farah

    2013-09-04

    Artificial Neural Networks (ANNs) are a massively parallel network of a large number of interconnected neurons similar to the structure of biological neurons in the human brain. ANNs find applications in a large number of fields, from pattern...

  20. Evolution of Memory in Reactive Artificial Neural Networks 

    E-Print Network [OSTI]

    Chung, Ji Ryang

    2012-07-16

    In the neuronal circuits of natural and artificial agents, memory is usually implemented with recurrent connections, since recurrence allows past agent state to affect the present, on-going behavior. Here, an interesting ...

  1. Artificial teeth : dental biofilm analysis on a chip

    E-Print Network [OSTI]

    Lam, Raymond Hiu-wai

    2010-01-01

    In this thesis, an "artificial teeth" microfluidic device is developed that provides unprecedented control over the conditions required to simulate the growth of complex dental biofilm. Dental plaque formation is not only ...

  2. A Casebase of Intelligent Buildings for E-learning Systems 

    E-Print Network [OSTI]

    Chen, Z.; Clements-Croome, D. J.; Ozkan, G.; Hong, J.; Xu, Z.

    2006-01-01

    This paper presents the conceptual description of a knowledge base for teaching and learning the programme of MSc Intelligent Buildings, which is being developed at the University of Reading and being developed into a global Master degree program...

  3. The misguided reaction: reconsidering intelligence flow before 11 September 2001 

    E-Print Network [OSTI]

    Prothro, John Samuel

    2004-11-15

    This research examines the story of 11 September 2001 from an organizational communication perspective. Discourse after the event pointed to "communication difficulties" as a scapegoat for the intelligence community's ...

  4. Intelligent Cruise Control design based on a traffic flow specification 

    E-Print Network [OSTI]

    Huandra, Rusli

    1998-01-01

    The principal objectives of the Automated Highway graphics. System (AHS), an Intelligent Transportation System (ITS) technology, are to increase the safety and through-put of the existing highway by traffic automation. Advanced Vehicle Control...

  5. Perceptual data mining : bootstrapping visual intelligence from tracking behavior

    E-Print Network [OSTI]

    Stauffer, Christopher P. (Christopher Paul), 1971-

    2002-01-01

    One common characteristic of all intelligent life is continuous perceptual input. A decade ago, simply recording and storing a a few minutes of full frame-rate NTSC video required special hardware. Today, an inexpensive ...

  6. DYNAMICS OF INTELLIGENT POLY(N-ISOPROPYLACRYLAMIDE) MICROGELS 

    E-Print Network [OSTI]

    Pullela, Srinivasa

    2010-01-16

    This dissertation investigates the self assembly and automatic oscillation of intelligent poly (N-isopropylacrylamide) [PNIPAM] microgel particles. The equilibrium phase diagram as a function of temperature and concentration ...

  7. Search for Extra-terrestrial Intelligence Donna M. Jurdy

    E-Print Network [OSTI]

    Jurdy, Donna M.

    NASA/JPL SETI - Search for Extra-terrestrial Intelligence Donna M. Jurdy Northwestern University used in the 1950's to study pathways to the origin of life. #12;Pole-to-Equator Temperature

  8. Automatic recognition codes for Intelligent Vehicle-Highway Systems 

    E-Print Network [OSTI]

    Leonardi, Pierre Charles Louis

    1994-01-01

    This thesis describes an automatic recognition code system designed for non-stop toll collection (part of Intelligent Vehicle-Highway Systems). The system uses Bose, Chaudhuri, and Hocquenghem (BCH) codes to encode the information. Each code...

  9. Is emotional intelligence worthwhile?: Assessing incremental validity and adverse impact 

    E-Print Network [OSTI]

    Rhodes, Dana Lanay

    2009-05-15

    several contributions: (a) a summary of theoretical links between EI and job performance, (b) meta-analytic incremental validity estimation for two different conceptualizations of emotional intelligence – labeled ability EI and mixed EI – over and above...

  10. ARKTOS: An intelligent system for SAR sea ice image classification

    E-Print Network [OSTI]

    Soh, L. K.; Tsatsoulis, Costas; Gineris, D.; Bertoia, C.

    2004-01-01

    We present an intelligent system for satellite sea ice image analysis named Advanced Reasoning using Knowledge for T ping Of Sea ice (ARKTOS). ARKTOS performs fully automated analysis of synthetic aperture radar (SAR) sea ice images by mimicking...

  11. Adaptive method with intercessory feedback control for an intelligent agent

    DOE Patents [OSTI]

    Goldsmith, Steven Y.

    2004-06-22

    An adaptive architecture method with feedback control for an intelligent agent provides for adaptively integrating reflexive and deliberative responses to a stimulus according to a goal. An adaptive architecture method with feedback control for multiple intelligent agents provides for coordinating and adaptively integrating reflexive and deliberative responses to a stimulus according to a goal. Re-programming of the adaptive architecture is through a nexus which coordinates reflexive and deliberator components.

  12. GeoComputational Intelligence and High-Performance Geospatial Computing

    E-Print Network [OSTI]

    Guan, Qingfeng

    2011-11-16

    GeoComputational Intelligence and High-performance Geospatial Computing Qingfeng (Gene) Guan, Ph.D Center for Advanced Land Management Information Technologies School of Natural Resources University of Nebraska - Lincoln GIS Day @ University... of Kansas Nov. 16th, 2011 Contents 1. Computational Science and GeoComputation 2. GeoComputational Intelligence - ANN-based Urban-CA model 3. High-performance Geospatial Computing - Parallel Geostatistical Areal Interpolation - pRPL and pSLEUTH 4. Conclusion...

  13. M. D. Lemmon and P. J. Antsaklis, "Towards a Working Characterization of "Intelligent" Supervisory Control," Technical Report of the ISIS (Interdisciplinary Studies of Intelligent Systems) Group, No. ISIS-

    E-Print Network [OSTI]

    Antsaklis, Panos

    Control," Technical Report of the ISIS (Interdisciplinary Studies of Intelligent Systems) Group, No. ISIS Characterization of "Intelligent" Supervisory Control," Technical Report of the ISIS (Interdisciplinary Studies of Intelligent Systems) Group, No. ISIS- 93-007, Univ of Notre Dame, November 1993. #12;M. D. Lemmon and P. J

  14. Evaluating the performance of two neutron spectrum unfolding codes based on iterative procedures and artificial neural networks

    SciTech Connect (OSTI)

    Ortiz-Rodriguez, J. M.; Reyes Alfaro, A.; Reyes Haro, A.; Solis Sanches, L. O.; Miranda, R. Castaneda; Cervantes Viramontes, J. M. [Universidad Autonoma de Zacatecas, Unidad Academica de Ingenieria Electrica. Av. Ramon Lopez Velarde 801. Col. Centro Zacatecas, Zac (Mexico); Vega-Carrillo, H. R. [Universidad Autonoma de Zacatecas, Unidad Academica de Ingenieria Electrica. Av. Ramon Lopez Velarde 801. Col. Centro Zacatecas, Zac., Mexico. and Unidad Academica de Estudios Nucleares. C. Cip (Mexico)

    2013-07-03

    In this work the performance of two neutron spectrum unfolding codes based on iterative procedures and artificial neural networks is evaluated. The first one code based on traditional iterative procedures and called Neutron spectrometry and dosimetry from the Universidad Autonoma de Zacatecas (NSDUAZ) use the SPUNIT iterative algorithm and was designed to unfold neutron spectrum and calculate 15 dosimetric quantities and 7 IAEA survey meters. The main feature of this code is the automated selection of the initial guess spectrum trough a compendium of neutron spectrum compiled by the IAEA. The second one code known as Neutron spectrometry and dosimetry with artificial neural networks (NDSann) is a code designed using neural nets technology. The artificial intelligence approach of neural net does not solve mathematical equations. By using the knowledge stored at synaptic weights on a neural net properly trained, the code is capable to unfold neutron spectrum and to simultaneously calculate 15 dosimetric quantities, needing as entrance data, only the rate counts measured with a Bonner spheres system. Similarities of both NSDUAZ and NSDann codes are: they follow the same easy and intuitive user's philosophy and were designed in a graphical interface under the LabVIEW programming environment. Both codes unfold the neutron spectrum expressed in 60 energy bins, calculate 15 dosimetric quantities and generate a full report in HTML format. Differences of these codes are: NSDUAZ code was designed using classical iterative approaches and needs an initial guess spectrum in order to initiate the iterative procedure. In NSDUAZ, a programming routine was designed to calculate 7 IAEA instrument survey meters using the fluence-dose conversion coefficients. NSDann code use artificial neural networks for solving the ill-conditioned equation system of neutron spectrometry problem through synaptic weights of a properly trained neural network. Contrary to iterative procedures, in neural net approach it is possible to reduce the rate counts used to unfold the neutron spectrum. To evaluate these codes a computer tool called Neutron Spectrometry and dosimetry computer tool was designed. The results obtained with this package are showed. The codes here mentioned are freely available upon request to the authors.

  15. Inteligencia Artificial, Revista Iberoamericana de Inteligencia Artificial. Vol 11, No. 36 (2007), pp. 9-17. ISSN: 1137-3601. AEPIA (http://www.aepia.org/revista).

    E-Print Network [OSTI]

    Pineda, Luis

    2007-01-01

    Inteligencia Artificial, Revista Iberoamericana de Inteligencia Artificial. Vol 11, No. 36 (2007), pp. 9-17. ISSN: 1137-3601. © AEPIA (http://www.aepia.org/revista). ARTÍCULO The obligations

  16. Published in Artificial Life V: Proc. Fifth Inter. Conf. on the Synthesis and Simulation of Living Systems, Nara, Japan, May, 1996. Perception and Learning in Artificial Animals

    E-Print Network [OSTI]

    Toronto, University of

    equip our artificial animals with directable, virtual eyes capable of foveal vision. This aspect of ourPublished in Artificial Life V: Proc. Fifth Inter. Conf. on the Synthesis and Simulation of Living Systems, Nara, Japan, May, 1996. Perception and Learning in Artificial Animals Demetri Terzopoulos, Tamer

  17. Published in Artificial Life V: Proc. Fifth Inter. Conf. on the Synthesis and Simulation of Living Systems, Nara, Japan, May, 1996. Perception and Learning in Artificial Animals

    E-Print Network [OSTI]

    Terzopoulos, Demetri

    is carried out using computer vision algo- rithms. We equip our artificial animals withdirectable, virtualPublished in Artificial Life V: Proc. Fifth Inter. Conf. on the Synthesis and Simulation of Living Systems, Nara, Japan, May, 1996. Perception and Learning in Artificial Animals Demetri Terzopoulos, Tamer

  18. Intelligent, self-contained robotic hand

    DOE Patents [OSTI]

    Krutik, Vitaliy; Doo, Burt; Townsend, William T.; Hauptman, Traveler; Crowell, Adam; Zenowich, Brian; Lawson, John

    2007-01-30

    A robotic device has a base and at least one finger having at least two links that are connected in series on rotary joints with at least two degrees of freedom. A brushless motor and an associated controller are located at each joint to produce a rotational movement of a link. Wires for electrical power and communication serially connect the controllers in a distributed control network. A network operating controller coordinates the operation of the network, including power distribution. At least one, but more typically two to five, wires interconnect all the controllers through one or more joints. Motor sensors and external world sensors monitor operating parameters of the robotic hand. The electrical signal output of the sensors can be input anywhere on the distributed control network. V-grooves on the robotic hand locate objects precisely and assist in gripping. The hand is sealed, immersible and has electrical connections through the rotary joints for anodizing in a single dunk without masking. In various forms, this intelligent, self-contained, dexterous hand, or combinations of such hands, can perform a wide variety of object gripping and manipulating tasks, as well as locomotion and combinations of locomotion and gripping.

  19. Intelligent composites and structures -- a review

    SciTech Connect (OSTI)

    Jang, B.Z. [Auburn Univ., AL (United States)

    1993-12-31

    Functionally responsive composites, as precursors to intelligent or smart material systems, are reviewed. These include composites containing a complex network of sensors that can monitor several parameters simultaneously over the entire lifetime of the structure. For instance, fiber optic sensors can be used for (1) monitoring the manufacturing process, (2) augmenting nondestructive evaluation technique, (3) enabling structure health monitoring and damage assessment systems, and (4) supporting control system. Significant progress has been made towards controlling structural radiated noise by active/adaptive means applied directly to the structure. By incorporating electrorheological (ER) fluids in composites, one can produce a new class of materials of which the mechanical properties can be changed in situ. By adjusting the rheological properties of the ER fluid through an electric field, both stiffness and damping capabilities can be altered. Active vibration control can also be achieved by incorporating a shape memory alloy (SMA, e.g. Nitinol) in a fiber reinforced composite as the embedded distributed actuators. The SMA embedded laminates have the capabilities to change their material properties, modify the stress and strain state of the structure, and possibly alter its configuration possibly in a controlled manner. The advantages and limitations of ER fluids, piezoelectric ceramics, and SMAs as the actuators for smart structures will be discussed. Also to be discussed are the theoretical basis, some fabrication techniques, and potential applications of piezoelectric composites and optical composites.

  20. VARIABLE SPEED INTEGRATED INTELLIGENT HVAC BLOWER

    SciTech Connect (OSTI)

    Shixiao Wang; Herman Wiegman; Wilson Wu; John Down; Luana Iorio; Asha Devarajan; Jing Wang; Ralph Carl; Charlie Stephens; Jeannine Jones; Paul Szczesny

    2001-11-14

    This comprehensive topical report discusses the key findings in the development of a intelligent integrated blower for HVAC applications. The benefits of rearward inclined blades over that of traditional forward inclined blades is well documented and a prototype blower design is presented. A comparison of the proposed blower to that of three typical units from the industry is presented. The design of the blower housing is also addressed and the impact of size limitations on static efficiency is discussed. Issues of air flow controllability in the rearward inclined blower is addressed and a solution to this problem is proposed. Several motor design options are discussed including inside-out radial flux designs and novel axial flux designs, all are focused on the various blower needs. The control of the motor-blower and airflow through the use of a high density inverter stage and modern digital signal processor is presented. The key technical challenges of the approach are discussed. The use of the motor as a sensor in the larger heating/ventilating system is also discussed. Diagnostic results for both the motor itself and the blower system are presented.

  1. Marianne is Watching: Knowledge, Secrecy, Intelligence and the Origins of the French Surveillance State (1870-1914)

    E-Print Network [OSTI]

    Bauer, Deborah Susan

    2013-01-01

    Intelligence and National Security. 9, no. 3 (1994): 472-Intelligence and National Security. 9, no. 3 (1994): 474.ability to undermine national security, as was believed to

  2. Lighting system combining daylight concentrators and an artificial source

    DOE Patents [OSTI]

    Bornstein, Jonathan G. (Miami, FL); Friedman, Peter S. (Toledo, OH)

    1985-01-01

    A combined lighting system for a building interior includes a stack of luminescent solar concentrators (LSC), an optical conduit made of preferably optical fibers for transmitting daylight from the LSC stack, a collimating lens set at an angle, a fixture for receiving the daylight at one end and for distributing the daylight as illumination inside the building, an artificial light source at the other end of the fixture for directing artifical light into the fixture for distribution as illumination inside the building, an automatic dimmer/brightener for the artificial light source, and a daylight sensor positioned near to the LSC stack for controlling the automatic dimmer/brightener in response to the daylight sensed. The system also has a reflector positioned behind the artificial light source and a fan for exhausting heated air out of the fixture during summer and for forcing heated air into the fixture for passage into the building interior during winter.

  3. Artificial ciliary bundles with nano fiber tip links

    E-Print Network [OSTI]

    Asadnia, Mohsen; Miao, Jianmin; Triantafyllou, Michael

    2015-01-01

    Mechanosensory ciliary bundles in fishes are the inspiration for carefully engineered artificial flow sensors. We report the development of a new class of ultrasensitive MEMS flow sensors that mimic the intricate morphology of the ciliary bundles, including the stereocilia, tip links, and the cupula, and thereby achieve threshold detection limits that match the biological example. An artificial ciliary bundle is achieved by fabricating closely-spaced arrays of polymer micro-pillars with gradiating heights. Tip links that form the fundamental sensing elements are realized through electrospinning aligned PVDF piezoelectric nano-fibers that link the distal tips of the polymer cilia. An optimized synthesis of hyaluronic acid-methacrylic anhydride hydrogel that results in properties close to the biological cupula, together with drop-casting method are used to form the artificial cupula that encapsulates the ciliary bundle. In testing, fluid drag force causes the ciliary bundle to slide, stretching the flexible nan...

  4. Design and Applications of an Intelligent Financial Reporting and Auditing Agent with Net Knowledge (FRAANK)

    E-Print Network [OSTI]

    Srivastava, Rajendra P.; Bovee, Matthew; Kogan, Alexander; Nelson, Kay; Vasarhelyi, Miklos A.

    2002-01-01

    This paper discusses the use of intelligent Internet agents as essential tools for automating financial analysis functions in the virtual world. Several important characteristic features of intelligent agents are discussed, ...

  5. Is Conscientiousness negatively correlated with intelligence test and inspection time performance 

    E-Print Network [OSTI]

    Todd, Kirsty

    2006-01-01

    The purpose of this study was to ascertain if high C developed as a compensation mechanism to make up for a lack of intelligence: our hypothesis was that C would negatively correlate with intelligence tests’ scores and ...

  6. Predicting Academic Achievement: The Role Of Parenting, Nonverbal Intelligence, and Goal Orientation in Turkish Children 

    E-Print Network [OSTI]

    Korkmaz, Ummugulsum

    2014-07-25

    The purpose of this research is to examine parenting, child goal orientation, and child nonverbal intelligence as predictors of academic achievement among fifth grade Turkish children. The influence of intelligence, parenting ...

  7. Golden Fish: An Intelligent Stream Cipher Fuse Memory Modules QiongHai Dai1

    E-Print Network [OSTI]

    International Association for Cryptologic Research (IACR)

    Golden Fish: An Intelligent Stream Cipher Fuse Memory Modules Lan Luo12 QiongHai Dai1 ZhiGuang Qin2 such design style at SHA3. Keywords: An intelligent golden Fish, LFSR & Block Cipher Modes as Stream Cipher

  8. Intelligence by design : principles of modularity and coordination for engineering complex adaptive agents

    E-Print Network [OSTI]

    Bryson, Joanna Joy, 1965-

    2001-01-01

    All intelligence relies on search - for example, the search for an intelligent agent's next action. Search is only likely to succeed in resource-bounded agents if they have already been biased towards finding the right ...

  9. Impact of managers emotional intelligence on marketing creativity in Jordan Commercial banks" Innovative Marketing, International

    E-Print Network [OSTI]

    Impact of managers emotional intelligence on marketing creativity in Jordan Commercial banks" Innovative Marketing, International Research Journal, vol 6, Issue3, 2010 Abstract: Purpose of paper: This study aims to investigate the Impact of Managers Emotional Intelligence on marketing creativity

  10. Intelligent Office Lighting: Demand-Responsive Conditioning and Increased User Satisfaction

    E-Print Network [OSTI]

    Agogino, Alice M.

    Intelligent Office Lighting: Demand-Responsive Conditioning and Increased User Satisfaction Jessica diagram decision framework is used to optimize demand responsive actuation decisions, resulting with retrofitting. Keywords: Daylighting, energy efficiency, influence diagrams, intelligence, demand response, user

  11. A Decision-Making Model for the Asian Intelligent Building Index 

    E-Print Network [OSTI]

    Hong, J.; Chen, Z.; Li, H.; Xu, Q.

    2006-01-01

    The paper presents a multi-criteria decision-making model to evaluate the sustainable performances of intelligent buildings based on the Asian IB index, which is recommended by the Asian Institute of Intelligent Buildings. To undertake this task...

  12. Cultural intelligence support for military operations

    SciTech Connect (OSTI)

    Guthormsen, Amy M.; MacKerrow, Edward P; Merritt, Terence M; Morgart, Ruth E

    2010-04-08

    It has long been recognized that military success relies on knowledge of the enemy. In the context of standard warfare, adequate knowledge of the enemy may be gained by analyzing observable, measurable data. In the context of modern counterinsurgency operations and the global war on terror, the task of predicting the behavior of the enemy is vastly more complex and difficult. Without an understanding of the ways individuals in the host nation interpret and react to events, no amount of objective information can provide the insight required to accurately predict behavior. US military doctrine has begun to recognize the importance of the many ways that local culture can affect operation success. Increasingly military decision makers use cultural information in the service of operation planning, and troops are provided with pre-deployment cultural training. However, no amount of training can cover the breadth and depth of potentially useful cultural information, and no amount of careful planning can avoid the need to adapt as situations develop. Therefore, a critical challenge is to provide useful tools to US personnel in their efforts to collect, analyze, and utilize cultural information. Essential functions for cultural support tools include the following: (1) to narrow down a broad range of available data and focus the user's attention on context-relevant information, (2) to present cultural information in an easily understood form, (3) to prompt the user to seek relevant information in the environment, (4) to synthesize information, and (5) to predict outcomes based on possible courses of operation. In this paper, we begin by reviewing the ways in which military operations can benefit from cultural intelligence. We then discuss frameworks for analyzing cultural information in the context of a military operation. We conclude with a demonstration of our current efforts to develop a tool that meets the aforementioned functional challenges.

  13. Leveraging Intelligent Vehicle Technologies to Maximize Fuel Economy (Presentation)

    SciTech Connect (OSTI)

    Gonder, J.

    2011-11-01

    Advancements in vehicle electronics, along with communication and sensing technologies, have led to a growing number of intelligent vehicle applications. Example systems include those for advanced driver information, route planning and prediction, driver assistance, and crash avoidance. The National Renewable Energy Laboratory is exploring ways to leverage intelligent vehicle systems to achieve fuel savings. This presentation discusses several potential applications, such as providing intelligent feedback to drivers on specific ways to improve their driving efficiency, and using information about upcoming driving to optimize electrified vehicle control strategies for maximum energy efficiency and battery life. The talk also covers the potential of Advanced Driver Assistance Systems (ADAS) and related technologies to deliver significant fuel savings in addition to providing safety and convenience benefits.

  14. Intelligent Sensor Validation and Fusion with distributed "MEMS Dust" Sensors Shijun Qiu*

    E-Print Network [OSTI]

    Agogino, Alice M.

    Intelligent Sensor Validation and Fusion with distributed "MEMS Dust" Sensors (Abstract) Shijun Qiu;References 1. Alag, S, K. Goebel, and A.M. Agogino, "A Framework for Intelligent Sensor Validation, Sensor, 1020 2. Alag, S, A.M. Agogino, and M.. Morjaria, " A Methodology for Intelligent Sensor Measurement

  15. Integration of Intelligent Systems and Sensor Fusion within the CONTROLAB AGV

    E-Print Network [OSTI]

    Carneiro, Gustavo

    Integration of Intelligent Systems and Sensor Fusion within the CONTROLAB AGV E. P. L. Audea T the integration of intelligent systems and the use of sensor fusion within a Multi-Level Fusion Architecture (MUFA. Keywords: Autonomous Guided Vehicles, Sensor Fusion, Distributed Intelligence, Obstacle Avoidance

  16. Mobile Agent Gain Scheduler Control in Inter-Continental Intelligent Space

    E-Print Network [OSTI]

    Chow, Mo-Yuen

    other to provide intelligent services to inhabitants [1, 3]. The mobile agents have sensors andMobile Agent Gain Scheduler Control in Inter-Continental Intelligent Space Rangsarit - Intelligent Space (iSpace) is a space (room, corridor, or street), which has distributed sensory and mobile

  17. Quick start guide for IBM Cognos 8 Business Intelligence online trial

    E-Print Network [OSTI]

    Quick start guide for IBM Cognos 8 Business Intelligence online trial IBM Cognos 8 Business Intelligence comes with a "Quick Tour" and a "Getting Started Guide". It is recommended that you take Cognos 8 Business Intelligence" in the "Getting Started Guide". The "IBM Cognos Connection" is the portal

  18. From GIS to LBS, An Intelligent Mobile GIS 1 From GIS to LBS

    E-Print Network [OSTI]

    Caduff, David

    From GIS to LBS, An Intelligent Mobile GIS 1 From GIS to LBS An Intelligent Mobile GIS Christopher investigate these three as- pects, illustrate how they close the gap between a GIS and a LBS, and finally propose an intelligent mobile GIS that conforms to the definition of LBS. INTRODUCTION Mobile GIS

  19. Open Giant Intelligent Information Systems and Its Agent-Oriented Abstraction Mechanism

    E-Print Network [OSTI]

    Cao, Longbing

    Open Giant Intelligent Information Systems and Its Agent-Oriented Abstraction Mechanism Longbing intelligent information systems, an open giant intelligent information system is a special kind of complex information system, and then we discussed the challenges of agent-based computing for dealing with the above

  20. Generalized Intelligent States for an Arbitrary Quantum System

    E-Print Network [OSTI]

    A. H. EL Kinani; M. Daoud

    2003-11-06

    Generalized Intelligent States (coherent and squeezed states) are derived for an arbitrary quantum system by using the minimization of the so-called Robertson-Schr\\"odinger uncertainty relation. The Fock-Bargmann representation is also considered. As a direct illustration of our construction, the P\\"oschl-Teller potentials of trigonometric type will be shosen. We will show the advantage of the Fock-Bargmann representation in obtaining the generalized intelligent states in an analytical way. Many properties of these states are studied.

  1. Echo Meadows Project Winter Artificial Recharge.

    SciTech Connect (OSTI)

    Ziari, Fred

    2002-12-19

    This report discusses the findings of the Echo Meadows Project (BPA Project 2001-015-00). The main purpose of this project is to artificially recharge an alluvial aquifer, WITH water from Umatilla River during the winter high flow period. In turn, this recharged aquifer will discharge an increased flow of cool groundwater back to the river, thereby improving Umatilla River water quality and temperature. A considerable side benefit is that the Umatilla River should improve as a habitat for migration, spanning, and rearing of anadromous and resident fish. The scope of this project is to provide critical baseline information about the Echo Meadows and the associated reach of the Umatilla River. Key elements of information that has been gathered include: (1) Annual and seasonal groundwater levels in the aquifer with an emphasis on the irrigation season, (2) Groundwater hydraulic properties, particularly hydraulic conductivity and specific yield, and (3) Groundwater and Umatilla River water quality including temperature, nutrients and other indicator parameters. One of the major purposes of this data gathering was to develop input to a groundwater model of the area. The purpose of the model is to estimate our ability to recharge this aquifer using water that is only available outside of the irrigation season (December through the end of February) and to estimate the timing of groundwater return flow back to the river. We have found through the data collection and modeling efforts that this reach of the river had historically returned as much as 45 cubic feet per second (cfs) of water to the Umatilla River during the summer and early fall. However, this return flow was reduced to as low as 10 cfs primarily due to reduced quantities of irrigation application, gain in irrigation efficiencies and increased groundwater pumping. Our modeling indicated that it is possible to restore these critical return flows using applied water outside of the irrigation season. We further found that this water can be timed to return to the river during the desired time of the year (summer to early fall). This is because the river stage, which remains relatively high until this time, drops during the irrigation season-thereby releasing the stored groundwater and increasing river flows. A significant side benefit is that these enhanced groundwater return flows will be clean and cold, particularly as compared to the Umatilla River. We also believe that this same type of application of water could be done and the resulting stream flows could be realized in other watersheds throughout the Pacific Northwest. This means that it is critical to compare the results from this baseline report to the full implementation of the project in the next phase. As previously stated, this report only discusses the results of data gathered during the baseline phase of this project. We have attempted to make the data that has been gathered accessible with the enclosed databases and spreadsheets. We provide computer links in this report to the databases so that interested parties can fully evaluate the data that has been gathered. However, we cannot emphasize too strongly that the real value of this project is to implement the phases to come, compare the results of these future phases to this baseline and develop the science and strategies to successfully implement this concept to other rivers in the Pacific Northwest. The results from our verified and calibrated groundwater model matches the observed groundwater data and trends collected during the baseline phase. The modeling results indicate that the return flows may increase to their historic values with the addition of 1 acre-ft/acre of recharge water to the groundwater system (about 9,600 acre-feet total). What this means is that through continued recharge project, you can double to quadruple the annual baseflow of the Umatilla River during the low summer and fall flow periods as compared to the present base-flow. The cool and high quality recharge water is a significant beneficial impact to the river system.

  2. Interplay of oxygen-evolution kinetics and photovoltaic power curves on the construction of artificial leaves

    E-Print Network [OSTI]

    Surendranath, Yogesh

    An artificial leaf can perform direct solar-to-fuels conversion. The construction of an efficient artificial leaf or other photovoltaic (PV)-photoelectrochemical device requires that the power curve of the PV material and ...

  3. Experimental and artificial neural network modeling study on soot formation in premixed hydrocarbon flamesq

    E-Print Network [OSTI]

    Senkan, Selim M.

    Experimental and artificial neural network modeling study on soot formation in premixed hydrocarbon classical light scattering measurement techniques. The experimental data revealed that the soot properties rights reserved. Keywords: Soot; Hydrocarbon flames; Artificial neural networks 1. Introduction

  4. First Year Sedimentological Characteristics and Morphological Evolution of an Artificial Berm at Fort Myers Beach, Florida

    E-Print Network [OSTI]

    US Army Corps of Engineers

    First Year Sedimentological Characteristics and Morphological Evolution of an Artificial Berm Methods and Data Analysis 29 Results and Discussion 34 Sedimentological Characteristics of the Artificial Project Area 45 Control Area Northwest of Berm 47 Discussion of Sedimentological Characteristics 49

  5. Use of Artificial Neural Networks Process Analyzers: A Case Study

    E-Print Network [OSTI]

    Ghouti, Lahouari

    for this case study was obtained from SHARQ petrochemical company, Saudi Arabia. Four process variablesUse of Artificial Neural Networks Process Analyzers: A Case Study Al-Duwaish1 , H., Ghouti2 , L to predict O2 contents in a boiler at SHARQ petrochemical company in Saudi Arabia. The training data has been

  6. Safety Criteria and Safety Lifecycle for Artificial Neural Networks

    E-Print Network [OSTI]

    Kelly, Tim

    Safety Criteria and Safety Lifecycle for Artificial Neural Networks Zeshan Kurd, Tim Kelly and Jim performance based techniques that aim to improve the safety of neural networks for safety critical for safety assurance. As a result, neural networks are typically restricted to advisory roles in safety

  7. Catalyzed Molecule Replication in an Artificial Chemistry Thomas E. Portegys

    E-Print Network [OSTI]

    Portegys, Thomas E.

    Catalyzed Molecule Replication in an Artificial Chemistry Thomas E. Portegys Illinois State University Campus Box 5150 Normal, Illinois, USA 61790-5150 portegys@ilstu.edu Abstract This paper and Ikegami's autocatalytic membrane formation (1999), and lattice molecular systems (McMullin and Varela 1997

  8. Photovoltaics and Artificial Photosynthesis = Solar Electricity and Solar Fuel

    E-Print Network [OSTI]

    Saffman, Mark

    .4 TW US Electricity Consumption Electricity from the Sun is an ideal source of energy (fullyPhotovoltaics and Artificial Photosynthesis = Solar Electricity and Solar Fuel F.J. Himpsel, University of Wisconsin Madison #12;100100 km2 of solar cells could produce all the electricity for the US. 0

  9. Artificial Soiling of Photovoltaic Module Surfaces using Traceable Soil Components

    E-Print Network [OSTI]

    Artificial Soiling of Photovoltaic Module Surfaces using Traceable Soil Components Patrick D@sandia.gov Abstract--Effective evaluation and prediction of photovoltaic performance loss due to soiling requires types. I. INTRODUCTION Soiling is a significant source of energy loss in photovoltaic (PV) systems [1

  10. Computer Viruses as Artificial Life Eugene H. Spafford

    E-Print Network [OSTI]

    Somayaji, Anil

    Computer Viruses as Artificial Life Eugene H. Spafford Department of Computer Sciences Purdue in computer viruses since they first appeared in 1981, and especially in the past few years as they have reached epidemic numbers in many per- sonal computer environments. Viruses have been written about

  11. ON SOME PROPERTIES OF ARTIFICIAL FORAGING ANT COMMUNITIES

    E-Print Network [OSTI]

    de Lara, Juan

    and simulation of artificial foraging ant communities. Each virtual ant (vant) taking part in the simulation is modelled as an agent. The objective of each vant is to collect food for their community. Our aim, exchange of information can occur between colliding vants. We have used simulation and mathematical

  12. Liquid Crystalline Elastomers as Artificial Muscles P. E. Cladis

    E-Print Network [OSTI]

    Cladis, Patricia E.

    Liquid Crystalline Elastomers as Artificial Muscles P. E. Cladis Advanced Liquid Crystal Technologies, POB 1314, Summit, NJ 07902 USA Abstract We find that low molecular weight liquid crystalline cooperative effects acting over length scales larger than the typical mesh size of a liquid single crystalline

  13. Evolvable Self-Replicating Molecules in an Artificial Chemistry

    E-Print Network [OSTI]

    Turk, Greg

    -reproducing organizational form constructing itself in a simple environment and capable of evolution'. One motivation environment based on a sim- ple physics and chemistry that supports self-replicating molecules somewhat with [9] that artificial chemistries are a good medium in which to study early evolution. Keywords

  14. Photooxidation of Hg(0) in Artificial and Natural Waters

    E-Print Network [OSTI]

    Morel, François M. M.

    artificial and natural waters irradiated with a UV-B lamp. No change in Hg speciation was observed in dark waters could represent a net balance between Hg(II) photoreduction and Hg(0) photooxidation oxidized in the dark (7, 8). But it is not known iftheseresultsobtainedwithliquiddropsofHg(0)arerelevant

  15. Artificial Intersymbol Interference (ISI) to Exploit Receiver Imperfections for Secrecy

    E-Print Network [OSTI]

    Massachusetts at Amherst, University of

    Artificial Intersymbol Interference (ISI) to Exploit Receiver Imperfections for Secrecy Azadeh intentional intersymbol inter- ference (ISI). The legitimate receiver uses the key to cancel the ISI while the eavesdropper, since it does not have the key, cannot do such. It is shown that although ISI reduces

  16. Embodied Computation Applying the Physics of Computation to Artificial Morphogenesis

    E-Print Network [OSTI]

    MacLennan, Bruce

    Embodied Computation Applying the Physics of Computation to Artificial Morphogenesis Bruce J. Mac by exploiting their bodies and their physical environments as their own models. Embodied agents do not require emerge from an agent's purposeful interaction with its physical environment. Furthermore, the embodied

  17. NEST Scientific Report 2007-2009 Graphene and artificial graphene

    E-Print Network [OSTI]

    Abbondandolo, Alberto

    NEST Scientific Report 2007-2009 Graphene 43 Graphene and artificial graphene T his area-layer graphene behave like massless fermions. Graphene is a first remarkable and clean example of the impact of a potential with honeycomb structure on the electronic states and dynamics. In graphene the crystalline

  18. Artificial Organs 28(10):911915, Blackwell Publishing, Inc.

    E-Print Network [OSTI]

    Antaki, James F.

    International Society for Artificial Organs2810911915Original ArticleINLET AND OUTLET DEVICES FOR ROTARY BLOOD of the International Soci- ety for Rotary Blood Pumps, held August 31­September 2, 2003, in Bad Oeynhausen, Germany. Inlet and Outlet Devices for Rotary Blood Pumps *Xinwei Song, *Houston G. Wood, *Paul E. Allaire, James

  19. Artificial nose sees smell Monday, 21 August 2000

    E-Print Network [OSTI]

    Suslick, Kenneth S.

    such as paper, plastic or glass with a series of dots of different dyes. The array colour changes after or toxins. Anna Salleh - ABC Science Online Page 2 of 2News in Science 21/08/00 Artificial nose sees smell 5

  20. Effects of rainwater-harvesting-induced artificial recharge on the groundwater of wells in Rajasthan, India

    E-Print Network [OSTI]

    McClain, Michael

    by artificially recharging local groundwater. Keywords Rainwater harvesting . Artificial recharge . Water qualityEffects of rainwater-harvesting-induced artificial recharge on the groundwater of wells. Anderson & Narendra K. Chauhan Abstract In light of the increasing deterioration of ground- water supplies