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001412432 1001_ $$aForbus, Kenneth D.,$$eauthor.
001412432 24510 $$aQualitative representations :$$bhow people reason and learn about the continuous world /$$cKenneth D. Forbus.
001412432 264_1 $$aCambridge :$$bThe MIT Press,$$c[2018]
001412432 300__ $$a1 online resource (xvi, 424 pages)
001412432 336__ $$atext$$btxt$$2rdacontent
001412432 337__ $$acomputer$$bc$$2rdamedia
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001412432 4900_ $$aMIT Press
001412432 506__ $$aAccess limited to authorized users.
001412432 520__ $$aAn argument that qualitative representations -- symbolic representations that carve continuous phenomena into meaningful units -- are central to human cognition. In this book, Kenneth Forbus proposes that qualitative representations hold the key to one of the deepest mysteries of cognitive science: how we reason and learn about the continuous phenomena surrounding us. Forbus argues that qualitative representations -- symbolic representations that carve continuous phenomena into meaningful units -- are central to human cognition. Qualitative representations provide a basis for commonsense reasoning, because they enable practical reasoning with very little data; this makes qualitative representations a useful component of natural language semantics. Qualitative representations also provide a foundation for expert reasoning in science and engineering by making explicit the broad categories of things that might happen and enabling causal models that help guide the application of more quantitative knowledge as needed. Qualitative representations are important for creating more human-like artificial intelligence systems with capabilities for spatial reasoning, vision, question answering, and understanding natural language. Forbus discusses, among other topics, basic ideas of knowledge representation and reasoning; qualitative process theory; qualitative simulation and reasoning about change; compositional modeling; qualitative spatial reasoning; and learning and conceptual change. His argument is notable both for presenting an approach to qualitative reasoning in which analogical reasoning and learning play crucial roles and for marshaling a wide variety of evidence, including the performance of AI systems. Cognitive scientists will find Forbus's account of qualitative representations illuminating; AI scientists will value Forbus's new approach to qualitative representations and the overview he offers.
001412432 588__ $$aOCLC-licensed vendor bibliographic record.
001412432 650_0 $$aCognition.
001412432 650_0 $$aReasoning.
001412432 650_0 $$aSpace perception.
001412432 653__ $$aCOGNITIVE SCIENCES/General
001412432 653__ $$aCOMPUTER SCIENCE/General
001412432 655_0 $$aElectronic books
001412432 852__ $$bebk
001412432 85640 $$3MIT Press$$uhttps://univsouthin.idm.oclc.org/login?url=https://doi.org/10.7551/mitpress/11578.001.0001?locatt=mode:legacy$$zOnline Access through The MIT Press Direct
001412432 85642 $$3OCLC metadata license agreement$$uhttp://www.oclc.org/content/dam/oclc/forms/terms/vbrl-201703.pdf
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001412432 980__ $$aBIB
001412432 980__ $$aEBOOK
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001412432 983__ $$aOnline