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The Dynamics of Concepts

A Connectionist Model

  • Book
  • © 1994

Overview

Editors:
  1. Philip R. Loocke
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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 766)

Part of the book sub series: Lecture Notes in Artificial Intelligence (LNAI)

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Table of contents (12 chapters)

  1. Front Matter

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  2. Introduction

    Pages 1-12

  3. Semantic and pre-semantic representations

    Pages 13-30

  4. Demarcation of a module for non-verbal representations

    Pages 31-50

  5. Feature packages and the representation of function

    Pages 51-67

  6. The internal structure of categories

    Pages 69-96

  7. A connectionist model and a proposal for a learning rule

    Pages 97-133

  8. Prototypes and more general typicality-effects

    Pages 135-164

  9. The influence of contexts on typicalities

    Pages 165-175

  10. The basic level of taxonomic organization

    Pages 177-200

  11. Conceptual Organization and Its Development

    Pages 201-201

  12. The empirical psychology of concept development

    Pages 201-209

  13. General discussion

    Pages 210-254

  14. Back Matter

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Keywords

About this book

This book offers a model for concepts and their dynamics. A basic assumptionis that concepts are composed of specified components, which are representedby large binary patterns whose psychological meaning is governed by the interaction between conceptual modules and other functional modules. A recurrent connectionist model is developed in which some inputs are attracted faster than others by an attractor, where convergence times can beinterpreted as decision latencies. The learning rule proposed is extracted from psychological experiments. The rule has the property that that whena context becomes more familiar, the associations between the concepts of the context spontaneously evolve from loose associations to a more taxonomicorganization.

Bibliographic Information

  • Book Title: The Dynamics of Concepts

  • Book Subtitle: A Connectionist Model

  • Editors: Philip R. Loocke

  • Series Title: Lecture Notes in Computer Science

  • DOI: https://doi.org/10.1007/BFb0027534

  • Publisher: Springer Berlin, Heidelberg

  • eBook Packages: Springer Book Archive

  • Copyright Information: Springer-Verlag Berlin Heidelberg 1994

  • Softcover ISBN: 978-3-540-57647-1Published: 28 January 1994

  • eBook ISBN: 978-3-540-48297-0Published: 19 November 2005

  • Series ISSN: 0302-9743

  • Series E-ISSN: 1611-3349

  • Edition Number: 1

  • Number of Pages: XIII, 347

  • Topics: Artificial Intelligence

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