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Title: Information processing systems, reasoning modules, and reasoning system design methods

Abstract

Information processing systems, reasoning modules, and reasoning system design methods are described. According to one aspect, an information processing system includes working memory comprising a semantic graph which comprises a plurality of abstractions, wherein the abstractions individually include an individual which is defined according to an ontology and a reasoning system comprising a plurality of reasoning modules which are configured to process different abstractions of the semantic graph, wherein a first of the reasoning modules is configured to process a plurality of abstractions which include individuals of a first classification type of the ontology and a second of the reasoning modules is configured to process a plurality of abstractions which include individuals of a second classification type of the ontology, wherein the first and second classification types are different.

Inventors:
; ;
Publication Date:
Research Org.:
Pacific Northwest National Lab. (PNNL), Richland, WA (United States)
Sponsoring Org.:
USDOE
OSTI Identifier:
1303520
Patent Number(s):
9,424,522
Application Number:
14/828,289
Assignee:
Battelle Memorial Institute (Richland, WA) PNNL
DOE Contract Number:
AC05-76RL01830
Resource Type:
Patent
Resource Relation:
Patent File Date: 2015 Aug 17
Country of Publication:
United States
Language:
English
Subject:
99 GENERAL AND MISCELLANEOUS; 97 MATHEMATICS AND COMPUTING

Citation Formats

Hohimer, Ryan E., Greitzer, Frank L., and Hampton, Shawn D. Information processing systems, reasoning modules, and reasoning system design methods. United States: N. p., 2016. Web.
Hohimer, Ryan E., Greitzer, Frank L., & Hampton, Shawn D. Information processing systems, reasoning modules, and reasoning system design methods. United States.
Hohimer, Ryan E., Greitzer, Frank L., and Hampton, Shawn D. 2016. "Information processing systems, reasoning modules, and reasoning system design methods". United States. doi:. https://www.osti.gov/servlets/purl/1303520.
@article{osti_1303520,
title = {Information processing systems, reasoning modules, and reasoning system design methods},
author = {Hohimer, Ryan E. and Greitzer, Frank L. and Hampton, Shawn D.},
abstractNote = {Information processing systems, reasoning modules, and reasoning system design methods are described. According to one aspect, an information processing system includes working memory comprising a semantic graph which comprises a plurality of abstractions, wherein the abstractions individually include an individual which is defined according to an ontology and a reasoning system comprising a plurality of reasoning modules which are configured to process different abstractions of the semantic graph, wherein a first of the reasoning modules is configured to process a plurality of abstractions which include individuals of a first classification type of the ontology and a second of the reasoning modules is configured to process a plurality of abstractions which include individuals of a second classification type of the ontology, wherein the first and second classification types are different.},
doi = {},
journal = {},
number = ,
volume = ,
place = {United States},
year = 2016,
month = 8
}

Patent:

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  • Information processing systems, reasoning modules, and reasoning system design methods are described. According to one aspect, an information processing system includes working memory comprising a semantic graph which comprises a plurality of abstractions, wherein the abstractions individually include an individual which is defined according to an ontology and a reasoning system comprising a plurality of reasoning modules which are configured to process different abstractions of the semantic graph, wherein a first of the reasoning modules is configured to process a plurality of abstractions which include individuals of a first classification type of the ontology and a second of the reasoningmore » modules is configured to process a plurality of abstractions which include individuals of a second classification type of the ontology, wherein the first and second classification types are different.« less
  • Information processing systems, reasoning modules, and reasoning system design methods are described. According to one aspect, an information processing system includes working memory comprising a semantic graph which comprises a plurality of abstractions, wherein the abstractions individually include an individual which is defined according to an ontology and a reasoning system comprising a plurality of reasoning modules which are configured to process different abstractions of the semantic graph, wherein a first of the reasoning modules is configured to process a plurality of abstractions which include individuals of a first classification type of the ontology and a second of the reasoningmore » modules is configured to process a plurality of abstractions which include individuals of a second classification type of the ontology, wherein the first and second classification types are different.« less
  • A processing module operating method includes using a processing module physically connected to a wireless communications device, requesting that the wireless communications device retrieve encrypted code from a web site and receiving the encrypted code from the wireless communications device. The wireless communications device is unable to decrypt the encrypted code. The method further includes using the processing module, decrypting the encrypted code, executing the decrypted code, and preventing the wireless communications device from accessing the decrypted code. Another processing module operating method includes using a processing module physically connected to a host device, executing an application within the processingmore » module, allowing the application to exchange user interaction data communicated using a user interface of the host device with the host device, and allowing the application to use the host device as a communications device for exchanging information with a remote device distinct from the host device.« less
  • Embodiments of microfluidic hubs and systems are described that may be used to connect fluidic modules. A space between surfaces may be set by fixtures described herein. In some examples a fixture may set substrate-to-substrate spacing based on a distance between registration surfaces on which the respective substrates rest. Fluidic interfaces are described, including examples where fluid conduits (e.g. capillaries) extend into the fixture to the space between surfaces. Droplets of fluid may be introduced to and/or removed from microfluidic hubs described herein, and fluid actuators may be used to move droplets within the space between surfaces. Continuous flow modulesmore » may be integrated with the hubs in some examples.« less
  • The research investigated the role of knowledge presentation and knowledge organization (question type) in an expert system to support users' information-processing strategies for problem solving. The expert system application was computer diagnostics performed within a multinational computer manufacturer. A framework for a systematic research program for evaluating the effectiveness of intelligent interfaces was developed. The framework identified the interaction between user expertise (expert vs. novice), level of problem uncertainty, knowledge presentation format (procedural vs. declarative), question type (requiring abstract vs. concrete information organization), and decision-making process as they impact decision-making performance while using an expert system. A significant difference inmore » performance was found between high- and low-skill users. High-skill users performed faster, more accurate, and had self-reported confidence ratings that were higher than low-skill users. Also, for both problem tasks, problem solution time decreased a greater amount for low skill users than for high skill users when using the expert system. Finally, a negative correlation was found between user confidence ratings and problem-solving performance.« less