Classification and cognition

書誌事項

Classification and cognition

W.K. Estes

(Oxford psychology series, no. 22)

Oxford University Press, 1994

  • : pbk

大学図書館所蔵 件 / 全52件

この図書・雑誌をさがす

注記

Bibliography: p. [259]-272

Includes indexes

内容説明・目次

巻冊次

ISBN 9780195073355

内容説明

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.

目次

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
巻冊次

: pbk ISBN 9780195109740

内容説明

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.

目次

  • 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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