Environments for Multi-Agent Systems First International Worksho
The modern ?eld of multiagent systems has developed from two main lines of earlier research. Its practitioners generally regard it as a form of arti?cial intelligence (AI). Some of its earliest work was reported in a series of workshops in the US dating f
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Subseries of Lecture Notes in Computer Science
3374
Danny Weyns H. Van Dyke Parunak Fabien Michel (Eds.)
Environments for Multi-Agent Systems First International Workshop, E4MAS 2004 New York, NY, July 19, 2004 Revised Selected Papers
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Series Editors Jaime G. Carbonell, Carnegie Mellon University, Pittsburgh, PA, USA Jörg Siekmann, University of Saarland, Saarbrücken, Germany Volume Editors Danny Weyns Katholieke Universiteit Leuven Department of Computer Science, AgentWise, DistriNet 3001 Leuven, Belgium E-mail: [email protected] H. Van Dyke Parunak Altarum Institute 3520 Green Court, Suite 300, Ann Arbor, MI 48105-1579, USA E-mail: [email protected] Fabien Michel LIRMM - Université de Montpellier II 161 rue Ada, 34592 Cedex 5, Montpellier, France E-mail: [email protected]
Library of Congress Control Number: 2005920458
CR Subject Classification (1998): I.2.11, I.2, C.2.4 ISSN 0302-9743 ISBN 3-540-24575-8 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 springeronline.com © Springer-Verlag Berlin Heidelberg 2005 Printed in Germany Typesetting: Camera-ready by author, data conversion by Scientific Publishing Services, Chennai, India Printed on acid-free paper SPIN: 11389903 06/3142 543210
Preface
The modern field of multiagent systems has developed from two main lines of earlier research. Its practitioners generally regard it as a form of artificial intelligence (AI). Some of its earliest work was reported in a series of workshops in the US dating from 1980, revealingly entitled, “Distributed Artificial Intelligence,” and pioneers often quoted a statement attributed to Nils Nilsson that “all AI is distributed.” The locus of classical AI was what happens in the head of a single agent, and much MAS research reflects this heritage with its emphasis on detailed modeling of the mental state and processes of individual agents. From this perspective, intelligence is ultimately the purview of a single mind, though it can be amplified by appropriate interactions with other minds. These interactions are typically mediated by structured protocols of various sorts, modeled on human conversational behavior. But the modern field of MAS was not born of a single parent. A few researchers have persistently advocated ideas from the field of artificial life (ALife). These scientists were impressed by the complex adaptive behaviors of communities of animals (often extremely simple animals, such as ins
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