Simulating the evolution of language

Simulating the evolution of language

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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.... central tenets, succeeding where population genetic models had previously failed (see Maynard Smith, 1985, for a review). As evolutionary game theory benefited from its success in dealing with ideas which had proven hard to explore using ... far failed to eclipse Darwina#39;s theory of sexual selection), both the vocabulary and explanatory perspective associated with it ... In this section, we will try to demonstrate how simulation models of the kind already introduced can help to answeranbsp;...

Title:Simulating the evolution of language
Author:Angelo Cangelosi, Domenico Parisi
Publisher:Springer Verlag - 2002


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