Knowledge Representation for Agents and Multi-Agent Systems Firs
This book constitutes the thoroughly refereed post-workshop proceedings of the First International Workshop on Knowledge Representation for Agents and Multi-Agent Systems, KRAMAS 2008, held in Sydney, Australia, in September 2008 as a satellite event of K
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Subseries of Lecture Notes in Computer Science
5605
John-Jules Ch. Meyer Jan Broersen (Eds.)
Knowledge Representation for Agents and Multi-Agent Systems First International Workshop, KRAMAS 2008 Sydney, Australia, September 17, 2008 Revised Selected 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 John-Jules Ch. Meyer Jan Broersen Universiteit Utrecht, Department of Information and Computing Sciences Padualaan 14, De Uithof, 3584 CH Utrecht, The Netherlands E-mail: {jj,broersen}@cs.uu.nl
Library of Congress Control Number: 2009937292
CR Subject Classification (1998): I.2.4-6, I.2, F.4.1, H.3, H.2.8, F.1 LNCS Sublibrary: SL 7 – Artificial Intelligence ISSN ISBN-10 ISBN-13
0302-9743 3-642-05300-9 Springer Berlin Heidelberg New York 978-3-642-05300-9 Springer Berlin Heidelberg New York
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Preface
This book comprises the formal proceedings of KRAMAS 2008, a workshop on Knowledge Representation for Agents and Multi-Agent Systems, held at KR 2008, Sydney, Australia, September 17, 2008. The initiative for KRAMAS 2008 was taken by last year’s KR Chairs to enhance cross-fertilization between the KR (Knowledge Representation and Reasoning) and agent communities. To promote participation in the KR schedule, the workshop was conveniently ‘sandwiched’ between days with regular KR sessions. The topics solicited included: – Knowledge representation and reasoning aspects of agent systems (languages, ontologies, techniques) – Reasoning about (actions of) agents – Reasoning methods (such as non-monotonic reasoning, abduction, argumentation, diagnosis, planning, decision making under uncertainty, reasoning about preference, ...) applied to agents and multi-agent systems (MAS) – Theory of negotiation, communication, cooperation, group decision making, game theory for MAS – Cognitive robotics – Representations of other agents / opponent models – Logics for intelligent agents and MAS – Specification and verification techniques for agents – Automated reasoning techniques for agent-based systems – Logical foundations of agent-based systems, normative
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