Social Agents in Dynamic Equilibrium
A simple model for social group interactions is introduced. The model is investigated for the minimal group size for the model N=3. Examples of model of model behaviour in terms of dynamic and static equilibrium are presented. Directions for further study
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Springer-V erlag Wien GmbH
Dr. David W. Pearson Equipe Universitaire de Recherche en Informatique de Saint-Etienne (Groupe de Recherche de Roanne) Institut Universitaire de Technologie de Roanne Universite Jean Monnet, Saint-Etienne, France
Dr. Nigel C. Steele Division of Mathematics School of Mathematical and Information Sciences Coventry University, Coventry, U.K.
Dr. Rudolf F. Albrecht Institut fUr Informatik Innsbruck, Innsbruck, Austria
Universităt
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With 226 Figures
ISBN 978-3-211-00743-3 ISBN 978-3-7091-0646-4 (eBook) DOI 10.1007/978-3-7091-0646-4
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Preface
The 2003 edition of ICANNGA marks a milestone in this conference series, because it is the tenth year of its existence. The series began in 1993 with the inaugural conference at Innsbruck in Austria. At that first conference, the organisers decided to organise a similar scientific meeting every two years. As a result, conferences were organised at Ales in France (1995), Norwich in England (1997), Portoroz in Slovenia (1999) and Prague in the Czech Republic (2001). It is a great honour that the conference is taking place in France for the second time. Each edition of ICANNGA has been special and had its own character. Not only that, participants have been able to sample the life and local culture in five different European countries. Originally limited to neural networks and genetic algorithms the conference has broadened its outlook over the past ten years and now includes papers on soft computing and artificial intelligence in general. This is one of the reasons why the reader will find papers on fuzzy logic and various other topics not directly related to neural networks or genetic algorithms included in these proceedings. We have, however, kept the same name, "International Conference on Artificial Neural Networks and Genetic Algorithms". All of the papers were sorted into one of six principal categories: neural network theory, neural network applications, genetic algorithm and evolutiona
