Qualitative representations : (Record no. 73576)

000 -LEADER
fixed length control field 04653nam a2200565 i 4500
001 - CONTROL NUMBER
control field 8618068
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20220712204931.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 190319s2018 mau ob 001 eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
ISBN 9780262349802
-- electronic bk.
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
-- electronic bk.
082 04 - CLASSIFICATION NUMBER
Call Number 153
100 1# - AUTHOR NAME
Author Forbus, Kenneth D.,
245 10 - TITLE STATEMENT
Title Qualitative representations :
Sub Title how people reason and learn about the continuous world /
300 ## - PHYSICAL DESCRIPTION
Number of Pages 1 PDF (xvi, 424 pages).
490 1# - SERIES STATEMENT
Series statement MIT Press
505 0# - FORMATTED CONTENTS NOTE
Remark 2 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.
520 ## - SUMMARY, ETC.
Summary, etc 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.
856 42 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier https://ieeexplore.ieee.org/xpl/bkabstractplus.jsp?bkn=8618068
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type eBooks
264 #1 -
-- Cambridge :
-- The MIT Press,
-- [2018]
264 #2 -
-- [Piscataqay, New Jersey] :
-- IEEE Xplore,
-- [2019]
336 ## -
-- text
-- rdacontent
337 ## -
-- electronic
-- isbdmedia
338 ## -
-- online resource
-- rdacarrier
588 0# -
-- Print version record.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Cognition.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Reasoning.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Space perception.
650 #7 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Cognition.
650 #7 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Reasoning.
650 #7 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Space perception.

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