Multiagent Systems: A Modern Approach to Distributed Artificial Intelligence
This is the first comprehensive introduction to multiagent systems and contemporarydistributed artificial intelligence that is suitable as a textbook. The book provides detailedcoverage of basic topics as well as several closely related ones.
Unliketraditional textbooks, the book brings together many leading experts, guaranteeing a broad anddiverse base of knowledge and expertise. It emphasizes aspects of both theory and application, andprovides many illustrations and examples. Also included are thought-provoking exercises of varyingdegrees of difficulty and a twenty-page glossary of terms found in the study of agents, multiagentsystems, and distributed artificial intelligence.
The book can be used forteaching as well as self-study, and is designed to meet the needs of both researchers andpractitioners. In view of the interdisciplinary nature of the field, it will be a useful referencenot only for computer scientists and engineers, but for social scientists and management andorganization scientists as well.
Contributors: Gul A. Agha, Kathleen M. Carley,Jose Cuena, Edmund H. Durfee, Clarence Ellis, Les Gasser, Michael P. Georgeff, Michael N. Huhns,Toru Ishida, Nadeem Jamali, Sascha Ossowski, H. Van Dyke Parunak, Anand S. Rao, Tuomas W. Sandholm,Sandip Sen, Munindar P. Singh, Larry M. Stephens, Gerard Tel, Jacques Wainer, Gerhard Weiss, MichaelJ. Wooldridge, Makoto Yokoo.
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Multiagent Systems and Societies of Agents
Distributed Problem Solving and Planning
Search Algorithms for Agents
Distributed Rational Decision Making
Learning in Multiagent Systems
Industrial and Practical Applications of DAI
Distributed Models for Decision Support
Concurrent Programming for DAI
Distributed Control Algorithms for AI
Constraint Satisfaction Problem CSP
Computational Organization Theory