From Animals to Animats 11 11th International Conference on Simu
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Subseries of Lecture Notes in Computer Science
6226
Stéphane Doncieux Benoît Girard Agnès Guillot John Hallam Jean-Arcady Meyer Jean-Baptiste Mouret (Eds.)
From Animals to Animats 11 11th International Conference on Simulation of Adaptive Behavior, SAB 2010 Paris – Clos Lucé, France, August 25-28, 2010 Proceedings
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Series Editors Randy Goebel, University of Alberta, Edmonton, Canada Jörg Siekmann, University of Saarland, Saarbrücken, Germany Wolfgang Wahlster, DFKI and University of Saarland, Saarbrücken, Germany Volume Editors Stéphane Doncieux Benoît Girard Agnès Guillot Jean-Arcady Meyer Jean-Baptiste Mouret ISIR, Université Pierre et Marie Curie, Paris, France E-mail: {stephane.doncieux, benoit.girard, agnes.guillot, jean-arcady.meyer, jean-baptiste.mouret}@upmc.fr John Hallam Mærsk Mc-Kinney Møller Institute University of Southern Denmark Odense M, Denmark E-mail: [email protected]
Library of Congress Control Number: 2010932527 CR Subject Classification (1998): I.2, F.1, I.4, I.5, J.3, H.3 LNCS Sublibrary: SL 7 – Artificial Intelligence ISSN ISBN-10 ISBN-13
0302-9743 3-642-15192-2 Springer Berlin Heidelberg New York 978-3-642-15192-7 Springer Berlin Heidelberg New York
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Preface
This book contains the articles presented at the 11th International Conference on the Simulation of Adaptive Behavior (SAB 2010), which was held at the Museum d’Histoire Naturelle and at the University Pierre et Marie Curie of Paris during August 25–27, 2010. On August 28, the attendees moved to Le Clos Luc´e – the last home of Leonardo da Vinci – where the 20th anniversary of the conference was celebrated. The objective of the biennial SAB Conference is to bring together researchers in computer science, artificial intelligence, artificial life, complex systems, robotics, neurosciences, ethology, evolutionary biology, and related fields so as to further our understanding of the behaviors and underlying mechanisms that allow natural and artificial animals to adapt and survive in uncertain environments. Adaptive behavior research is distinguished by its focus on the modelling and creation of complete animal-like systems, which – however simple at the moment – may be one of the best routes to understanding intelligence in natural and artificial syste
