Qualitative representations: how people reason and learn about the continuous world
An 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:...
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| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Cambridge
The MIT Press
[2018]
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| Schriftenreihe: | MIT Press
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| Online-Zugang: | FHI01 Volltext Volltext Volltext Volltext https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&db=nlabk&AN=1995865 https://ebookcentral.proquest.com/lib/byu/detail.action?docID=5630911 Volltext |
| Zusammenfassung: | An 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 |
| Beschreibung: | 1 online resource (xvi, 424 pages) |
| ISBN: | 9780262349802 0262349809 |
| DOI: | 10.7551/mitpress/11578.001.0001 |
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| 520 | 3 | |a An 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 | |
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Datensatz im Suchindex
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| contents | Introduction and preliminaries -- Introduction -- Representation -- Reasoning -- Analogy -- Dynamics -- Quantity -- Relationships between quantities -- Qualitative process theory -- Examples using QP theory -- Causality -- Qualitative simulation and reasoning about change -- Modeling -- Analogy in dynamics -- Dynamics in language -- Space -- Qualitative spatial reasoning: a theoretical framework -- Qualitative spatial calculi -- Understanding sketches and diagrams -- Learning and reasoning -- Learning and conceptual change -- Commonsense reasoning -- Expert reasoning -- Summary and new directions -- Summary -- New directions -- Bibliography -- Notes -- Index |
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| discipline | Psychologie |
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| indexdate | 2024-07-10T08:18:37Z |
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| isbn | 9780262349802 0262349809 |
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| spelling | Forbus, Kenneth D. Verfasser aut Qualitative representations how people reason and learn about the continuous world Kenneth D. Forbus Cambridge The MIT Press [2018] 1 online resource (xvi, 424 pages) txt rdacontent c rdamedia cr rdacarrier MIT Press Introduction and preliminaries -- Introduction -- Representation -- Reasoning -- Analogy -- Dynamics -- Quantity -- Relationships between quantities -- Qualitative process theory -- Examples using QP theory -- Causality -- Qualitative simulation and reasoning about change -- Modeling -- Analogy in dynamics -- Dynamics in language -- Space -- Qualitative spatial reasoning: a theoretical framework -- Qualitative spatial calculi -- Understanding sketches and diagrams -- Learning and reasoning -- Learning and conceptual change -- Commonsense reasoning -- Expert reasoning -- Summary and new directions -- Summary -- New directions -- Bibliography -- Notes -- Index An 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 Kognition (DE-588)4031630-0 gnd rswk-swf COGNITIVE SCIENCES/General COMPUTER SCIENCE/General Cognition Reasoning Space perception PSYCHOLOGY / Cognitive Psychology SCIENCE / Cognitive Science Electronic books Kognition (DE-588)4031630-0 s DE-604 Print version Forbus, Kenneth D. Qualitative representations Cambridge, MA : MIT Press, [2018] 9780262038942 http://cognet.mit.edu/book/qualitative-representations Verlag Volltext http://mitpress.mit.edu/9780262038942 Verlag Volltext https://doi.org/10.7551/mitpress/11578.001.0001 Verlag Volltext http://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&db=nlabk&AN=1995865 Aggregator Volltext https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&db=nlabk&AN=1995865 Aggregator https://ebookcentral.proquest.com/lib/byu/detail.action?docID=5630911 Aggregator https://ieeexplore.ieee.org/book/8618068?bknumber=8618068 Verlag URL des Erstveröffentlichers Volltext |
| spellingShingle | Forbus, Kenneth D. Qualitative representations how people reason and learn about the continuous world Introduction and preliminaries -- Introduction -- Representation -- Reasoning -- Analogy -- Dynamics -- Quantity -- Relationships between quantities -- Qualitative process theory -- Examples using QP theory -- Causality -- Qualitative simulation and reasoning about change -- Modeling -- Analogy in dynamics -- Dynamics in language -- Space -- Qualitative spatial reasoning: a theoretical framework -- Qualitative spatial calculi -- Understanding sketches and diagrams -- Learning and reasoning -- Learning and conceptual change -- Commonsense reasoning -- Expert reasoning -- Summary and new directions -- Summary -- New directions -- Bibliography -- Notes -- Index Kognition (DE-588)4031630-0 gnd |
| subject_GND | (DE-588)4031630-0 |
| title | Qualitative representations how people reason and learn about the continuous world |
| title_auth | Qualitative representations how people reason and learn about the continuous world |
| title_exact_search | Qualitative representations how people reason and learn about the continuous world |
| title_full | Qualitative representations how people reason and learn about the continuous world Kenneth D. Forbus |
| title_fullStr | Qualitative representations how people reason and learn about the continuous world Kenneth D. Forbus |
| title_full_unstemmed | Qualitative representations how people reason and learn about the continuous world Kenneth D. Forbus |
| title_short | Qualitative representations |
| title_sort | qualitative representations how people reason and learn about the continuous world |
| title_sub | how people reason and learn about the continuous world |
| topic | Kognition (DE-588)4031630-0 gnd |
| topic_facet | Kognition |
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