Approaches To The Evolution Of Language


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Approaches to the Evolution of Language


Approaches to the Evolution of Language

Author: James R. Hurford

language: en

Publisher: Cambridge University Press

Release Date: 1998-09-17


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This is one of the first systematic attempts to bring language within the neo-Darwinian framework of modern evolutionary theory, without abandoning the vast gains in phonology and syntax achieved by formal linguistics over the past forty years. The contributors, linguists, psychologists, and paleoanthropologists, address such questions as: what is language as a category of behavior; is it an instrument of thought or of communication; what do individuals know when they know a language; what cognitive, perceptual, and motor capacities must they have to speak, hear, and understand a language? For the past two centuries, scientists have tended to see language function as largely concerned with the exchange of practical information. By contrast, this volume takes as its starting point the view of human intelligence as social, and of language as a device for forming alliances, in exploring the origins of the sound patterns and formal structures that characterize language.

The Evolution of Language


The Evolution of Language

Author: W. Tecumseh Fitch

language: en

Publisher: Cambridge University Press

Release Date: 2010-04


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This book brings together the most important insights from the vast amount of literature on the origin of language.

Simulating the Evolution of Language


Simulating the Evolution of Language

Author: Angelo Cangelosi

language: en

Publisher: Springer Science & Business Media

Release Date: 2012-12-06


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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.