Classification and cognition

Bibliographic Information

Classification and cognition

W.K. Estes

(Oxford psychology series, no. 22)

Oxford University Press, 1994

  • : pbk

Available at  / 52 libraries

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Note

Bibliography: p. [259]-272

Includes indexes

Description and Table of Contents

Volume

ISBN 9780195073355

Description

Based on the well-known Fitts Lectures, this volume presents a core set of concepts and principles that propose a unified interpretation of memory categorization, and decision making.

Table of Contents

1: Introduction and Basic Concepts 1.1: Classification and Cognition: An Overview 1.2: The Array Model Framework 2: Category Structures and Categorization 2.1: Similarity in Theories of Classification 2.2: Predicting Categorization Performance 3: Models for Category Learning 3.1: The Exemplar-Similarity Model 3.2: Network-based Learning Models 4: Categorization and Memory Processing 5: On the Storage and Retrieval of Categorical Information 6: Extensions and Applications of the Exemplar-Similarity Model 7: Categorization and Recognition 8: Categorization and Cognition: Reprise
Volume

: pbk ISBN 9780195109740

Description

Understanding classification is a major challenge for formulating theories of both human cognition and artificial intelligence. Classification is a human mental activity which covers such diverse things as forming concepts, categorizing medical patients, recognising an acquaintance, or discriminating phonetic components of a language. This book considers both previous theories and new research and comes up with a new core model which it proposes as the basis of all forms of classification. Two versions of this model are developed, one based on symbol-processing, and one on connectionist architecture, and it is suggested that modules of each type of model coexist in the human cognitive system, competing for control of behavioural output.

Table of Contents

  • 1. Introduction and Basic Concepts
  • 2. Category Structures and Categorization
  • 3. Models for Category Learning
  • 4. Categorization and Memory Processing
  • 5. On the Storage and Retrieval of Categorical Information
  • 6. Extensions and New Applications of the Exemplar-Similarity Model

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