Self Organization And Selection In Cultural Language Evolution Luc Steels Pdf

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Experiments in Cultural Language Evolution

Explores the cultural side of language evolution. This book proposes a framework based on linguistic selection and self-organization. It investigates how particular types of language systems can emerge in the population of language game playing agents and how they can continue to evolve in order to cope with changes in ecological conditions.
Self-organization in the evolution of speech

Author: Pierre-Yves Oudeyer
language: en
Publisher: Oxford University Press
Release Date: 2006
Speech is the principal supporting medium of language. In this book Pierre-Yves Oudeyer considers how spoken language first emerged. He presents an original and integrated view of the interactions between self-organization and natural selection, reformulates questions about the origins ofspeech, and puts forward what at first sight appears to be a startling proposal - that speech can be spontaneously generated by the coupling of evolutionarily simple neural structures connecting perception and production. He explores this hypothesis by constructing a computational system to modelthe effects of linking auditory and vocal motor neural nets. He shows that a population of agents which used holistic and unarticulated vocalizations at the outset are inexorably led to a state in which their vocalizations have become discrete, combinatorial, and categorized in the same way by allgroup members. Furthermore, the simple syntactic rules that have emerged to regulate the combinations of sounds exhibit the fundamental properties of modern human speech systems.This original and fascinating account will interest all those interested in the evolution of speech.
Simulating the Evolution of Language

Author: Angelo Cangelosi
language: en
Publisher: Springer Science & Business Media
Release Date: 2012-12-06
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.