Computational Logic in Multi-Agent Systems 10th International Wo
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Subseries of Lecture Notes in Computer Science
6214
Jürgen Dix Michael Fisher Peter Novák (Eds.)
Computational Logic in Multi-Agent Systems 10th International Workshop, CLIMA X Hamburg, Germany, September 9-10, 2009 Revised Selected and Invited Papers
13
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 Jürgen Dix Technische Universität Clausthal, Institut für Informatik Julius-Albert-Straße 4, 38678 Clausthal-Zellerfeld, Germany E-mail: [email protected] Michael Fisher University of Liverpool, Department of Computer Science Ashton Street, Liverpool, L69 3BX, UK E-mail: [email protected] Peter Novák Technische Universität Clausthal, Institut für Informatik Julius-Albert-Straße 4, 38678 Clausthal-Zellerfeld, Germany E-mail: [email protected]
Library of Congress Control Number: 2010938000
CR Subject Classification (1998): I.2.11, I.2, F.4.1, C.2.4, H.3, H.4
LNCS Sublibrary: SL 7 – Artificial Intelligence ISSN ISBN-10 ISBN-13
0302-9743 3-642-16866-3 Springer Berlin Heidelberg New York 978-3-642-16866-6 Springer Berlin Heidelberg New York
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Preface
These are the proceedings of the 10th International Workshop on Computational Logic in Multi-Agent Systems (CLIMA-X), held September 9–10, 2009 in Hamburg, co-located with MATES. The purpose of the CLIMA workshops is to provide a forum for discussing techniques, based on computational logic, for representing, in a formal way, programming and reasoning about agents and multi-agent systems. Multi-agent systems are communities of problem-solving entities that can perceive and act upon their environment in order to achieve both their individual goals and their joint goals. The work on such systems integrates many technologies and concepts from artificial intelligence and other areas of computing as well as other disciplines. Over recent years, the agent paradigm gained popularity, due to its applicability to a full spectrum of domains, such as search engines, recommendation systems, educational support, e-procurement, simulation and routing, electronic commerce and trade, etc. Computational logic provid
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