Multiagent Systems: A Modern Approach to Distributed Artificial Intelligence

This is the first comprehensive introduction to multiagent systems and contemporary distributed artificial intelligence that is suitable as a textbook. The book provides detailed coverage of basic topics as well as several closely related ones. Unlike traditional textbooks the book brings together many leading experts guaranteeing a broad and diverse base of knowledge and expertise. It emphasizes aspects of both theory and application and provides many illustrations and examples. Also included are thought-provoking exercises of varying degrees of difficulty and a twenty-page glossary of terms found in the study of agents multiagent systems and distributed artificial intelligence. The book can be used for teaching as well as self-study and is designed to meet the needs of both researchers and practitioners. In view of the interdisciplinary nature of the field it will be a useful reference not only for computer scientists and engineers but for social scientists and management and organization 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 Michael J. Wooldridge Makoto Yokoo.