Adaptive Agents and Multi-Agent Systems Adaptation and Multi-Age
Adaptive Agents and Multi-Agent Systems is an emerging and exciting interdisciplinary area of research and development involving artificial intelligence, computer science, software engineering, and developmental biology, as well as cognitive and social sc
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Lecture Notes in Computer Science Edited by G. Goos, J. Hartmanis, and J. van Leeuwen
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Eduardo Alonso Daniel Kudenko Dimitar Kazakov (Eds.)
Adaptive Agents and Multi-Agent Systems Adaptation and Multi-Agent Learning
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Series Editors Jaime G. Carbonell, Carnegie Mellon University, Pittsburgh, PA, USA J¨org Siekmann, University of Saarland, Saarbr¨ucken, Germany Volume Editors Eduardo Alonso City University Department of Computing London EC1V 0HB, UK E-mail: [email protected] Daniel Kudenko University of York Department of Computer Science Heslington, York YO10 5DD, UK E-mail: [email protected] Dimitar Kazakov University of York Department of Computer Science Heslington, York, YO10 5DD, UK E-mail: [email protected] Cataloging-in-Publication Data applied for A catalog record for this book is available from the Library of Congress. Bibliographic information published by Die Deutsche Bibliothek Die Deutsche Bibliothek lists this publication in the Deutsche Nationalbibliografie; detailed bibliographic data is available in the Internet at . CR Subject Classification (1998): I.2.11, I.2, D.2, C.2.4, F.3.1, D.3.1, H.5.3, K.4.3 ISSN 0302-9743 ISBN 3-540-40068-0 Springer-Verlag 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-Verlag. Violations are liable for prosecution under the German Copyright Law. Springer-Verlag Berlin Heidelberg New York a member of BertelsmannSpringer Science+Business Media GmbH http://www.springer.de © Springer-Verlag Berlin Heidelberg 2003 Printed in Germany Typesetting: Camera-ready by author, data conversion by PTP-Berlin GmbH Printed on acid-free paper SPIN: 10929377 06/3142 543210
Preface
Adaptive Agents and Multi-Agent Systems is an emerging and exciting multidisciplinary area encompassing computer science, software engineering, biology, and cognitive and social sciences. When designing agent systems, it is impossible to foresee all the potential situations an agent may encounter and specify the agent’s behavior optimally in advance. Agents therefore have to learn from and adapt to their environment. This task is even more complex when the agent is situated in an environment that contains other agents with potentially different capabilities and goals. Multiagent learning, i.e., the ability of the agents to learn how to co-operate and compete, becomes central to agency in such domains. In 2000 E. Alonso and D. Kudenko organized the First Symposium on Adaptive Agents and Multi-Agent Systems (AAMAS, not to be
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