Agents for Games and Simulations Trends in Techniques, Concepts
Research on multi-agent systems has provided a promising technology for implementing cognitive intelligent non-playing characters. However, the technologies used in game engines and multi-agent platforms are not readily compatible due to some inherent dif
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Subseries of Lecture Notes in Computer Science
5920
Frank Dignum Jeff Bradshaw Barry Silverman Willem van Doesburg (Eds.)
Agents for Games and Simulations Trends in Techniques, Concepts and Design
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 Frank Dignum Utrecht University Dept. of Information and Computing Sciences P.O. Box 80.089, 3508 TB Utrecht, The Netherlands E-mail: [email protected] Jeff Bradshaw Florida Institute for Human & Machine Cognition 40 South Alcaniz Street, Pensacola, FL 32502 USA E-mail: [email protected] Barry Silverman University of Pennsylvania/Systems, Electrical and Systems Engineering Engineering Dept. Philadelphia Towne Building, Room 251, 220 South 33rd Street Philadelphia, PA 19104-6315, USA E-mail: [email protected] Willem van Doesburg TNO Defence Department of Training and Instruction Security and Safety P.O. Box 23, 3769 ZG Soesterberg, The Netherlands E-mail: [email protected] Library of Congress Control Number: 2009940795 CR Subject Classification (1998): I.2, I.2.11, I.2.6, I.2.1, F.1.1, I.6, H.2.8 LNCS Sublibrary: SL 7 – Artificial Intelligence ISSN ISBN-10 ISBN-13
0302-9743 3-642-11197-1 Springer Berlin Heidelberg New York 978-3-642-11197-6 Springer Berlin Heidelberg New York
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Preface
Multi-agent system research offers a promising technology for implementing cognitive intelligent non-playing characters. However, the technologies used in game engines and multi-agent platforms are not readily compatible due to some inherent differences in concerns. Where game engines focus on real-time aspects and thus propagate efficiency and central control, multi-agent platforms assume autonomy of the agents. Increased autonomy and intelligence may offer benefits for a more compelling gameplay and may even be necessary for serious games. However, it raises problems when current game design techniques are used to incorporate state-of-the-art multi-agent system technology. A very similar argument can be given for agent-based (social) simulations. This volume contains the papers presented at AGS 2009: The F
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