Anticipatory Behavior in Adaptive Learning Systems From Brains t

Anticipatory behavior in adaptive learning systems is steadily gaining the - terest of scientists, although many researchers still do not explicitly consider the actual anticipatory capabilities of their systems. Similarly to the previous two workshops, t

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Subseries of Lecture Notes in Computer Science

4520

Martin V. Butz Olivier Sigaud Giovanni Pezzulo Gianluca Baldassarre (Eds.)

Anticipatory Behavior in Adaptive Learning Systems From Brains to Individual and Social Behavior

13

Series Editors Jaime G. Carbonell, Carnegie Mellon University, Pittsburgh, PA, USA Jörg Siekmann, University of Saarland, Saarbrücken, Germany Volume Editors Martin V. Butz Department of Cognitive Psychology III University of Würzburg Röntgenring 11, 97070 Würzburg, Germany E-mail: [email protected] Olivier Sigaud AnimatLab, Laboratoire d’Informatique de Paris 6 (LIP6) Univ. Pierre et Marie Curie 104 avenue de Président Kennedy, 75 015 Paris, France E-mail: [email protected] Giovanni Pezzulo Gianluca Baldassarre Institute of Cognitive Science and Technology (ISTC-CNR) Via S. Martino della Battaglia, 44, 00185 Roma, Italy E-mail: {giovanni.pezzulo,gianluca.baldassarre}@istc.cnr.it

Library of Congress Control Number: 2007933376

CR Subject Classification (1998): I.2.11, I.2, F.1, F.2.2, J.4 LNCS Sublibrary: SL 7 – Artificial Intelligence ISSN ISBN-10 ISBN-13

0302-9743 3-540-74261-1 Springer Berlin Heidelberg New York 978-3-540-74261-6 Springer Berlin Heidelberg New York

This work is subject to copyright. All rights are reserved, whether the whole or part of the material is concerned, specifically the rights of translation, reprinting, re-use of illustrations, recitation, broadcasting, reproduction on microfilms or in any other way, and storage in data banks. Duplication of this publication or parts thereof is permitted only under the provisions of the German Copyright Law of September 9, 1965, in its current version, and permission for use must always be obtained from Springer. Violations are liable to prosecution under the German Copyright Law. Springer is a part of Springer Science+Business Media springer.com © Springer-Verlag Berlin Heidelberg 2007 Printed in Germany Typesetting: Camera-ready by author, data conversion by Scientific Publishing Services, Chennai, India Printed on acid-free paper SPIN: 12108282 06/3180 543210

Preface

Anticipatory behavior in adaptive learning systems is steadily gaining the interest of scientists, although many researchers still do not explicitly consider the actual anticipatory capabilities of their systems. Similarly to the previous two workshops, the third workshop on anticipatory behavior in adaptive learning systems (ABiALS 2006) has shown yet again that the similarities between different anticipatory mechanisms in diverse cognitive systems are striking. The discussions and presentations on the workshop day of September 30th, 2006, during the Simulation of Adaptive Behavior Conference (SAB 2006), confirmed that the investigations into anticipatory cognitive mechanisms for behavior and learning strongly overlap among researchers from various disciplines, including the whole interdisciplinary cognitive science area. Thus, further conceptualizations of anticipatory mechanisms seem mandatory. The introductory chapter of this volume