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  • © 2002

Simulating the Evolution of Language

  • The only book to provide a complete and extensive survey of computational approaches to language evolution

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Table of contents (15 chapters)

  1. Front Matter

    Pages i-xii
  2. Introduction

    1. Front Matter

      Pages 1-1
  3. Evolution of Signaling Systems

    1. Front Matter

      Pages 51-51
    2. Adaptive Factors in the Evolution of Signaling Systems

      • Jason Noble, Ezequiel A. Di Paolo, Seth Bullock
      Pages 53-77
    3. Evolving Sound Systems

      • Bart de Boer
      Pages 79-97
    4. The Evolution of Dialect Diversity

      • Daniel Livingstone
      Pages 99-117
  4. Evolution of Syntax

    1. Front Matter

      Pages 119-119
    2. Population Dynamics of Grammar Acquisition

      • Natalia L. Komarova, Martin A. Nowak
      Pages 149-163
    3. The Role of Sequential Learning in Language Evolution: Computational and Experimental Studies

      • Morten H. Christiansen, Rick A. C. Dale, Michelle R. Ellefson, Christopher M. Conway
      Pages 165-187
  5. Grounding of Language

    1. Front Matter

      Pages 189-189
    2. Symbol Grounding and the Symbolic Theft Hypothesis

      • Angelo Cangelosi, Alberto Greco, Stevan Harnad
      Pages 191-210
  6. Behavioral and Neural Factors

    1. Front Matter

      Pages 227-227
  7. Auto-Organization and Dynamic Factors

    1. Front Matter

      Pages 277-277
    2. Auto-organization and Emergence of Shared Language Structure

      • Edwin Hutchins, Brian Hazlehurst
      Pages 279-305

About this book

This book is the first to provide a comprehensive survey of the computational models and methodologies used for studying the evolution and origin of language and communication. Comprising contributions from the most influential figures in the field, it presents and summarises the state-of-the-art in computational approaches to language evolution, and highlights new lines of development.
Essential reading for researchers and students in the fields of evolutionary and adaptive systems, language evolution modelling and linguistics, it will also be of interest to researchers working on applications of neural networks to language problems. Furthermore, due to the fact that language evolution models use multi-agent methodologies, it will also be of great interest to computer scientists working on multi-agent systems, robotics and internet agents.

Editors and Affiliations

  • Centre for Neural and Adaptive Systems, School of Computing, University of Plymouth, Plymouth, UK

    Angelo Cangelosi

  • Institute of Psychology, National Research Council, Rome, Italy

    Domenico Parisi

Bibliographic Information

Buy it now

Buying options

eBook USD 84.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access