- A key problem in playing strategy games is learn-ing how to allocate resources effectively. This can
- The Problem of Existence Kenneth D. Forbus
- This paper describes the Structure-Mapping Engine (SME), a cognitive simulation program for studying human analogical
- Qualitative physics as a component in natural language semantics: A progress report
- NORTHWESTERN UNIVERSITY A Cognitive Model of Recognition-Based
- Using Qualitative Representations in Controlling Engineering Problem Solving1
- A Structure Mapping Model for Solving Geometric Analogy Problems Emmett Tomai Andrew Lovett Kenneth D. Forbus Jeffrey Usher
- J. Ex p t . Th e o r . Ar t i f . In t e l l . 10(1998)231 257 Analogy just looks like high level perception: why a
- SpaceCase: A Model of Spatial Preposition Use Kate Lockwood (kate@cs.northwestern.edu), Ken Forbus (forbus@northwestern.edu)
- Integrating Open-Domain Sketch Understanding with Qualitative Two-Dimensional Rigid-Body Mechanics
- Qualitative Reasoning about Function: A progress report
- Granular Partitions and Vagueness Thomas Bittner and Barry Smith
- Cross Domain Analogies for Learning Domain Theories Matthew Klenk and Ken Forbus
- Designers often use a series of sketches to explain how their design goes through different states or
- Constructing Spatial Representations of Variable Detail for Sketch Recognition Andrew Lovett Morteza Dehghani Kenneth Forbus
- The Structure-Mapping Engine: Algorithm and Examples
- Open-domain sketch understanding: The nuSketch approach Kenneth D. Forbus, Kate Lockwood, Matthew Klenk, Emmett Tomai, and Jeffrey Usher
- Symbolizing Quantity Praveen K. Paritosh (paritosh@cs.northwestern.edu)
- 1. Introduction about Function
- Artificial Intelligence 113 (1999) 149202 Topological inference of teleology
- Andrew Lovett, Eyal Sagi, Dedre Gentner, & Kenneth Forbus MODELING PERCEPTUAL SIMILARITY AS ANALOGY
- Using Qualitative Simulation to Generate Explanations
- How qualitative spatial reasoning can improve strategy game AIs Kenneth D. Forbus James V. Mahoney Kevin Dill
- Order of Magnitude Reasoning in Modeling Moral Decision-Making
- Qualitative Reasoning Kenneth D. Forbus
- Hybrid Qualitative Simulation of Military Operations Thomas Hinrichs
- Modeling infant learning via symbolic structural alignment Sven E. Kuehne (skuehne@ils.nwu.edu)
- COGNITIVE SCIENCE 19, 141-205 (1994) A Model of Similarity-based Retrieval
- Similarity-based Qualitative Simulation Jin Yan (j-yan@northwestern.edu)
- An Integrated Systems Approach to Explanation-Based Conceptual Change
- Artificial Intelligence 51 (1991) 95-143 95 Compositional modeling
- Using analogical mapping to simulate time-course phenomena in perceptual similarity
- Forbus, K., Lockwood, K., Tomai, E., Dehghani, M. and Czyz, J. (2007). Machine Reading as a Cognitive Science Research Instrument. AAAI Spring Symposium on Machine Reading. Stanford University, California.
- Dedre Gentner Arthur B. Markman
- Modeling the Evolution of Knowledge and Reasoning in Learning Abhishek Sharma and Kenneth D. Forbus
- MoralDM: A Computational Model of Moral Decision-Making
- Analysis of Strategic Knowledge in Back of the Envelope Reasoning Praveen K. Paritosh and Kenneth D. Forbus
- Draft of 7/5/00 1 Articulate Software for
- Intelligent Computer-Aided Engineering Kenneth D . Forbus
- Appears in the Proceedings of the eighth annual meeting of the Cognitive Science Society, Amherst, MA, August 1986 .
- Some notes on programming objects Kenneth D. Forbus
- Forbus, K., Riesbeck, C., Birnbaum, L., Livingston, K., Sharma, A., & Ureel, L. (2007). A Prototype System that Learns by Reading Simplified Texts. AAAI Spring Symposium on Machine Reading. Stanford University, California.
- Northwestern University The Institute for the Learning Sciences
- Automatic Categorization of Spatial Prepositions Kate Lockwood (kate@cs.northwestern.edu)
- Graph-Based Reasoning and Reinforcement Learning for Improving Q/A Performance in Large Knowledge-Based Systems
- The Heuristic Reasoning Manifesto Praveen K. Paritosh (paritosh@cs.northwestern.edu)
- PERGAMON Engineering Applications of Artificial Intelligence 11 (1998) 449-459 Contributed Paper
- Question Generation for Learning by Reading Leo C. Ureel II, Kenneth D. Forbus, Chris Riesbeck, Larry Birnbaum
- Polynomial-time compilation Self-Explanatory Simulators
- Deliberative experimental learning is an approach for learning explicit game strategies in a small
- Companion Cognitive Systems: An Overview Kenneth D. Forbus
- An analogy ontology for integrating analogical processing and first-principles reasoning
- QCM: A QP-Based Concept Map System Morteza Dehghani and Ken Forbus
- Plenty of Blame to Go Around: A Qualitative Approach to Attribution of Moral Responsibility
- DEPARTMENT OF COMPUTER SCIENCE UNIVERSITY OF ILLINOIS AT URBANA-CHAMPAIGN
- Modeling Human-Like Rates of Learning via Analogical Generalization Andrew Lovett, Kate Lockwood, Morteza Dehghani, and Kenneth Forbus
- nuWar: A prototype sketch-based strategy game Greg Dunham, Ken Forbus, Jeffrey Usher
- Forbus, K. and Gentner, D. 1997. Qualitative mental models: Simulations or memories? Proceedings of the Elev-enth International Workshop on Qualitative Reasoning, Cortona, Italy.
- Using Qualitative Reasoning for the Attribution of Moral Responsibility Emmett Tomai Ken Forbus
- Similarity-based Cognitive Architecture Kenneth D . Forbus and Dedre Gentner
- EUROGRAPHICS Workshop on Sketch-Based Interfaces and Modeling (2008) Christine Alvarado and Marie-Paule Cani (Guest Editors)
- Using a Visual Routine to Model the Computation of Positional Relationships Andrew Lovett (andrew-lovett@northwestern.edu)
- Automated Critique of Sketched Mechanisms Jon Wetzel and Ken Forbus
- Qualitative Modeling and Similarity in Back of the Envelope Reasoning Praveen K. Paritosh (paritosh@cs.northwestern.edu)
- [Everett, 1995] J. Everett. A theory of mapping from structure to function applied to engineering thermodynamics. InProceedings of International Joint Conference on Artificial Intelligence(Montreal), pp. 1837-1843. San Mateo, CA: Morgan Kaufmann, 1995.
- SPATIAL AND QUALITATIVE ASPECTS OF REASONING ABOUT MOTION Reasoning about motion is an important part of common
- Artificial Intelligence 59 (1993) 115123 Qualitative process theory
- This essay describes a project in progress that is applying qualitative physics to create new kinds of educational software.
- Cognitive Processes in Quantitative Estimation: Analogical Anchors and Causal Praveen K. Paritosh (paritosh@northwestern.edu)
- ~` ORG Library Nftwestem Unnrersity
- NORTHWESTERN UNIVERSITY Using Analogy to Model Spatial Language Use and Multimodal Knowledge
- A key issue in artificial intelligence lies in finding the amount of input detail needed to do successful
- Strategy Variations in Analogical Problem Solving Tom Y. Ouyang and Kenneth D. Forbus
- Transforming between Propositions and Features: Bridging the Gap
- Answering comparison questions in SHAKEN: A progress report Shawn Nicholson
- SEQL: Category learning as progressive abstraction using structure mapping
- Forbus, K., Gentner, D., Everett, J., and Wu, M. 1997. Towards a computational model of evaluating and using analogical inferences. Proceedings of the 19
- COGNITIVE SCIENCE 19, 141-205 (1994) A Model of Si~i~ari~-~s~ Retrieval
- Dedre Gentner Psychology Department
- I-1r'ovvi= cow, tt`fiJ%evLJ Kbje1S.__ C.ov~l~ G~vto~ 1. Introduction
- Making SME greedy and pragmatic Kenneth D . Forbus Dan Oblinger
- Proceedings of CogSci89 Structural Evaluation of Analogies : What Counts?
- Domain Transfer via Cross-Domain Analogy Matthew Klenk and Ken Forbus
- Companion Cognitive Systems: Design Goals and Some Lessons Learned Ken Forbus, Matt Klenk, Tom Hinrichs
- Companion Cognitive Systems: A step towards human-level AI Kenneth D. Forbus and Thomas R. Hinrichs
- Analogical Learning of Visual/Conceptual Relationships in Sketches Kenneth D. Forbus, Jeffrey Usher, and Emmett Tomai
- Figure 1: An example of the skeletal arm concept drawn in CogSketch.
- S. Friedman, J. Taylor, and K. Forbus LEARNING NAVE PHYSICS MODELS BY ANALOGICAL
- Learning Nave Physics Models and Misconceptions Scott E. Friedman (friedman@northwestern.edu)
- Learning and Reasoning with Qualitative Models of Physical Behavior Scott E. Friedman, Kenneth D. Forbus, & Jason Taylor
- Learning Qualitative Causal Models via Generalization & Quantity Analysis
- DEMONSTRATION OF SUPPORTS FOR STUDENT REUSE AND INTEGRATION OF KNOWLEDGE THROUGH MODELING
- Helping children become qualitative modelers Kenneth D. Forbus
- Artificial Intelligence 114 (1999) 297347 An articulate virtual laboratory for engineering
- To appear in Proceedings of QR98, May 1998, Cape Cod. Distributed Coaching for an Intelligent Learning Environment
- 32 0885-9000/97/$10 .00 1997 IEEE IEEE EXPERT Using Qualitative Physics ft
- Proceedings of AAAI-94, pp 1175-1182, August, 1994. Using qualitative physics to build articulate software
- Tracking Quantity Fluctuations using STT Robert C. Kahlert, Ben Rode, David Baxter,
- Everyday political reasoning seems to have many properties in common with everyday physical rea-
- An Integrated Reasoning Approach to Moral Decision-Making Morteza Dehghani, Emmett Tomai, Ken Forbus, Matthew Klenk
- Capturing and Categorizing Mental Models of Food Webs using QCM Morteza Dehghani1
- Electrical Engineering and Computer Science Department Technical Report
- EA NLU: Practical Language Understanding for Cognitive Modeling Emmett Tomai and Kenneth D. Forbus
- On the Representation of Physical Quantities in Natural Language Text
- The Physics of Futures Past: A response to Sacks and Doyle
- Sub-linear Algorithms for Landmark Discovery from Black Box Models Manan Sanghi
- DEPARTMENT OF COMPUTER SCIENCE UNIVERSITY OF ILLINOIS AT URBANA-CHAMPAIGN
- IQE: An Incremental Qualitative Envisioner Dennis DeCoste
- Report No . UIUCDCS-R-88-1452 Introducing Actions into Qualitative Simulation
- QPE: Using assumption-based truth maintenance for qualitative simulation
- Reasoning About Fluids Via Molecular Collections John W . Collins and Kenneth D . Forbus
- 350 IEEE TRANSACTIONS ON SYSTEMS, MAN, AND CYBERNETICS, VOL. SMC-17, NO. 3, MAY/JUNE 1987 Interpreting Observations of
- UIUCDCS-R-86-1300 The Logic of Occurrence
- Composition Modeling of Physical Systems Brian Falkenhainer
- Kenneth D. Forbus Qualitative Reasoning Group
- FROM: Proceedings of the 1990International Conference on the Learning Sciences ; NWU, Evanston, IL ; 8/91
- A Visual Routines Based Model of Graph Understanding We present a model of graph understanding and describe our
- Qualitative Spatial Reasoning: Framework and Frontiers
- Visual Reasoning With Graphs Yusuf Pisan
- Artificial Intelligence 51 (I 991) 4l 7471 Qualitative spatial reasoning : the
- Both knowledge-based and text-based approaches to question answering suffer from brittleness. Text-
- From Whiteboard to Model: A Preliminary Analysis Praveen Paritosh1
- A Sketch of a Theory of Quantity Praveen K. Paritosh
- Northwestern University The Institute for the Learning Sciences
- Many problems having enormous search spaces can nevertheless be solved because only a very small frac-
- Sketching for Military Courses of Action Diagrams Kenneth D. Forbus Jeffrey Usher Vernell Chapman
- We believe that qualitative spatial reason-ing provides a bridge between perception
- TE-E JOURNAL OF TFtE LEARNEti J SC]ENC -S 6 .11. 3-40 Capynght 0 1997, Lawrence Erlbaum AsseciareS, Inc.
- MAGI: Analogy-based Encoding Using Regularity and Symmetry Analogy has always been considered a mechanism for
- To appear at the Qualitative Reasoning Workshop, June 1999, Loch Awe, Scotland. GeoRep: A Flexible Tool for Spatial Representation of Line Drawings
- REPRESENTING PHYSICAL AND DESIGN KNOWLEDGE IN INNOVATIVE DESIGN NIKITAS MARINOS SGOUROS
- Solving Everyday Physical Reasoning Problems by Analogy using Sketches
- Forbus, K., Riesbeck, C., Birnbaum, L., Livingston, K., Sharma, A., and Ureel, L. (2007). Integrating Natural Language, Knowledge Representation and Reasoning, and Analogical Processing to Learn by Reading. Proceedings of AAAI-07: Twenty-Second Conference
- Sketching for knowledge capture: A progress report Kenneth D. Forbus
- THE NEW ADDITION REPORT NO. UIUCDCS-R-88-1479 UILU-ENG-88-1785
- Towards a Computational Model of Sketching Kenneth D. Forbus, Ronald W. Ferguson, Jeffrey M. Usher
- FIRE: Infrastructure for Experience-based Systems with Common Sense
- Measurement Interpretation in Qualitative Process Theory The Artificial Intelligence Laboratory
- T OF COtij~ ~T,~ SCI"',--E ILLI\01S AT
- Automatic Classification of Containment and Support Spatial Relations in English and Dutch
- DEPARTMENT OF COMPUTER SCIENCE UNIVERSITY OF ILLINOIS AT URBANA-CHAMPAIGN
- Ken Forbus, Andrew Lovett, Kate Lockwood, Jon Wetzel, Camillia Matuk, Ben Jee and Jeffrey Qualitative Reasoning Group, Northwestern University
- Brian Falkenhainer Kenneth D. Forbus
- Forbus, K. 2000. Exploring analogy in the large. In Gentner, D., Holyoak, K. and Kokinov, B. (Eds) Analogy: Perspectives from Cognitive Science. Cambridge, MA: MIT Press.
- The Role of Cultural Narratives in Moral Decision Making
- Submitted to Artificial Intelligence. Draft of September 18, 1990 . Comments welcome. 1 Introduction
- Episodic Memory: A Final Frontier (Abbreviated Version) Kenneth D. Forbus, Sven Kuehne
- Figure 1: An example of the skeletal arm concept, drawn in CogSketch.
- TIM JOURNAL OF THE LEARNING SCIENCES, 6(1), 3--40 Copyright m 1997, Lawrence Erlbaum Associates, Inc.
- Self-Explanatory Simulations: An integration of qualitative and quantitative knowledge
- DESIGN OF COMPUTATIONAL SUPPORTS FOR STUDENTS IN VISUAL MODELLING TASKS
- Learning Causal Models via Progressive Alignment & Qualitative Modeling: A Simulation
- Molecular Collections : An ontology for reasoning about fluids
- NORTHWESTERN UNIVERSITY An Integrated Architecture
- Dynamic Case Creation and Expansion for Analogical Reasoning Thomas A. Mostek, Kenneth D. Forbus, and Cara Meverden
- Northwestern University The Institute for the Learning Sciences
- ARTIFICIAL INTELLIGENCE Qualitative Process Theory
- Forbus, K. Usher, J. and Chapman, V. 2003. Qualitative spatial reasoning about sketch maps. Proceedings of the Fifteenth Annual Conference on Innovative Applications of Artificial Intelligence, Acapulco, Mexico.
- Self-Modeling in Companion Cognitive Systems: Current Plans
- A theory of rerepresentation in analogical matching Jin Yan (j-yan@northwestern.edu)
- QUALITATIVE REASONING ABOUT FLUIDS AND MECHANICS
- Similarity-based Cognitive Architecture Similarity permeates human cognition. There is evidence
- 1 . Introduction Interpreting measurements ofphysical systems consists in part
- REPORT NO. UIUCDCS-R-88-1469 UILU-ENG-88-1775 November 1988
- A taxonomy of granular partitions Thomas Bittner and Barry Smith
- Scaling up Self-Explanatory Simulators : Polynomial-time Compilation Kenneth D. Forbus
- Bartlett, F. C. Remembering. Cambridge, Eng.: Cambridge University Press, 1932. Bresnan, J. A realistic transformational grammar. In M. Halle, J. Bresnan & G. A. Miller (Eds.),
- Two Forces in the Development of Relational Similarity
- Building Qualitative Models of Thermodynamic Processes
- Learning Physical Domains: Toward a Theoretical Framework
- This is the APPENDIX for An Integrated Architecture
- Using a Geographic Information System for Qualitative Spatial Reasoning about Trafficability
- Analogy as a mechanism of comparison Andrew Lovett (andrew-lovett@northwestern.edu)
- To appear in: Proceedings of 14th Innovative Applications of Artificial Intelligence
- Common Sense on the Envelope Praveen K. Paritosh Kenneth D. Forbus
- MAGI: Analogy-based Encoding Using Regularity and Symmetry Ronald W. Ferguson
- Qualitative Reasoning Kenneth D. Forbus
- Shape is like Space: Modeling Shape Representation as a Set of Qualitative Spatial Relations
- Towards a Computational Model of Sketching Kenneth D. Forbus, Ronald W. Ferguson, Jeffery M. Usher
- A qualitative physics which captures the depth and breadth of an engineer's knowledge will be orders of
- MAC/FAC : A Model of Similarity-based Retrieva Dedre Gentner and Kenneth D . Forbus
- Dynamic Across-Time Measurement Interpretation Incrementally maintaining a qualitative under-
- 1 . Introduction Kenneth D. Forbus
- Steps Towards a 2nd Generation Learning by Reading System
- EISEVIER Mathematics and Computers in Simulation 36 (1994) 91-101 MATHEMATICS
- VModel: A visual qualitative modeling environment for middle-school Kenneth D. Forbus
- Qualitative representations can play an important role in sketch understanding, by providing stable
- major shift in the way people interact with computers is coming. And it is something that we
- Reasoning with commonsense science knowledge is an important challenge for Artificial Intelligence. This pa-
