An Architecture for Flexible Problem Solving

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Show simple item record Langley, Patrick en Emery, Miranda en Barley, Michael en Maclellan, C en
dc.coverage.spatial Baltimore en 2015-04-01T01:15:47Z en 2013 en
dc.identifier.citation Poster Collection: The Second Annual Conference on Advances in Cognitive Systems, 2013 en
dc.identifier.uri en
dc.description.abstract The literature on problem solving in both humans and machines has revealed a diverse set of strategies that operate in different manners. In this paper, we review this great variety of techniques and propose a five-stage framework for problem solving that accounts for this variation in terms of differences in strategic knowledge used at each stage. We describe the framework and its implementation in some detail, including its encoding of problems and their solutions, its representation of domain-level and strategy-level knowledge, and its overall operation. We present evidence of the framework’s generality and its ability to support many distinct problem-solving strategies, including one that is novel and interesting. We also report experiments that show the framework’s potential for empirical comparisons of different techniques. We conclude by reviewing other work on flexible approaches to problem solving and considering some directions for future research. en
dc.relation.ispartof The Second Annual Conference on Advances in Cognitive Systems en
dc.relation.ispartofseries Poster Collection: The Second Annual Conference on Advances in Cognitive Systems en
dc.rights Items in ResearchSpace are protected by copyright, with all rights reserved, unless otherwise indicated. Previously published items are made available in accordance with the copyright policy of the publisher. Details obtained from en
dc.rights.uri en
dc.title An Architecture for Flexible Problem Solving en
dc.type Conference Poster en en
dc.rights.accessrights en
pubs.elements-id 410493 en Science en School of Computer Science en
pubs.record-created-at-source-date 2013-11-25 en

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