Handbook of Categorization in Cognitive Science

Author: Cohen   Henri;Lefebvre   Claire  

Publisher: Elsevier Science‎

Publication year: 2005

E-ISBN: 9780080457413

P-ISBN(Paperback): 9780080446127

P-ISBN(Hardback):  9780080446127

Subject: B842.1 认知;TP Automation Technology , Computer Technology

Language: ENG

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Description

Categorization, the basic cognitive process of arranging objects into categories, is a fundamental process in human and machine intelligence and is central to investigations and research in cognitive science. Until now, categorization has been approached from singular disciplinary perspectives with little overlap or communication between the disciplines involved (Linguistics, Psychology, Philosophy, Neuroscience, Computer Science, Cognitive Anthropology). Henri Cohen and Claire Lefebvre have gathered together a stellar collection of contributors in this unique, ambitious attempt to bring together converging disciplinary and conceptual perspectives on this topic.

"Categorization is a key concept across the range of cognitive sciences, including linguistics and philosophy, yet hitherto it has been hard to find accounts that go beyond the concerns of one or two individual disciplines. The Handbook of Categorization in Cognitive Science provides just the sort of interdisciplinary approach that is necessary to synthesize knowledge from the different fields and provide the basis for future innovation."
Professor Bernard Comrie, Department of Linguistics, Max Planck Institute for Evolutionary Anthropology, Germany

"Anyone concerned with language, semantics, or categorization will want to have this encyclopedic collection."
Professor Eleanor Rosch, Dept of Psychology, University of California, Berkeley, USA

Chapter

Cover

pp.:  1 – 4

Preface

pp.:  6 – 8

Table of Contents

pp.:  8 – 30

List of Contributors

pp.:  30 – 38

Bridging the Category Divide

pp.:  38 – 54

Part 2 – Semantic Categories

pp.:  202 – 354

Part 3 – Syntactic Categories

pp.:  354 – 468

Part 4 – Acquisition of Categories

pp.:  468 – 582

Part 5 – Neuroscience of Categorization and Category Learning

pp.:  582 – 654

Part 6 – Categories in Perception and Inference

pp.:  654 – 734

Part 7 – Grounding, Recognition, and Reasoning in Categorization

pp.:  734 – 858

Part 8 – Machine Category Learning

pp.:  858 – 948

Part 9 – Data Mining for Categories and Ontologies

pp.:  948 – 1028

Part 10 – The Naturalization of Categories

pp.:  1028 – 1118

Index

pp.:  1118 – 1137

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