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.
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About the Author
Gerhard Weiss is Research Scientist in the Computer Science Department at the Technical University of Munich.
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Most Helpful Customer Reviews
14 of 16 people found the following review helpful:
5.0 out of 5 stars
Excellent Theoretical and Practical Book,
By "graham_tp" (Markham, Ontario Canada) - See all my reviews
This review is from: Multiagent Systems: A Modern Approach to Distributed Artificial Intelligence (Paperback)
Not a beginner's book: The technologies presented are relevant to (gasp) some real life problems. The treatment of Distributed Constraint Satisfaction problems was well written and usable. The initial treatment of all subjects was broad, delving into details after laying a sound foundation. Assumes a bit of mathematical sophistication on the part of the reader, but on the whole, well written, well organized and well worth it.
6 of 6 people found the following review helpful:
5.0 out of 5 stars
A comprehensive monography,
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This review is from: Multiagent Systems: A Modern Approach to Distributed Artificial Intelligence (Paperback)
This is one out of very few books that exist on multiagent systems and distributed artificial intelligence which won't take for granted the reader. It has really taken me from elementary concepts up to industrial applications, passing over the actual "nitty gritty" of programming an agent. Many papers on artificial intelligence are just too mathematical for many readers, and those which have any application would describe what the program does, but only sometimes you get into knowing *how* the program does the trick. I personally would say the book is a "must-have-it", not only for those seeking to understand in concrete distributed artificial intelligence or multiagent systems, but also for any mathematician, physicists, computer scientists and engineer whose background touches somehow the concepts of artificial intelligence as a whole. Come to think of it, even any cunning philosopher of science could take real advantage of this book. Now then, concerning those industries which would like to have this book on their shelves, they would have to take in mind that this book is a departure point. A good one, but nevertheless only the start for deepening towards a concrete application the industry would have in mind.
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Inside This Book
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First Sentence:
Since its inception in the mid to late 1970s distributed artificial intelligence (DAI) evolved and diversified rapidly. Read the first page Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
coalition structure graph, heuristic depressions, local signal plans, asynchronous search algorithms, asynchronous backtracking algorithm, asynchronous dynamic programming, tātonnement algorithm, new nogood, moving target search, connectivity certificates, computational multiagent systems, infinite processing loop, environmental emergency management, nogood messages, coalition structure generation, echo algorithm, overall performance change, payoff division, multiagent learning, computational organization theory, social primitives, agent ensembles, intelligence subsystem, spill gates, distributed constraint satisfaction problem Key Phrases - Capitalized Phrases (CAPs): (learn more)
International Conference, Lecture Notes, Morgan Kaufmann, San Francisco, Cambridge University Press, New York, Computer Supported Cooperative Work, Zone Logic, European Workshop, General Magic, Les Gasser, Stanford University, European Conference, Mendez Alvaro, Modelling Autonomous Agents, Multi-Agent World, San Mateo, Gerard Tel, Springer Verlag, David Schmeidler, Elisha Pazner, Hugo Sonnenschein, Lawrence Erlbaum Associates, Cristiano Castelfranchi, International Workshop New!
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Front Cover | Table of Contents | First Pages | Index | Back Cover | Surprise Me!
Since its inception in the mid to late 1970s distributed artificial intelligence (DAI) evolved and diversified rapidly. Read the first page Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
coalition structure graph, heuristic depressions, local signal plans, asynchronous search algorithms, asynchronous backtracking algorithm, asynchronous dynamic programming, tātonnement algorithm, new nogood, moving target search, connectivity certificates, computational multiagent systems, infinite processing loop, environmental emergency management, nogood messages, coalition structure generation, echo algorithm, overall performance change, payoff division, multiagent learning, computational organization theory, social primitives, agent ensembles, intelligence subsystem, spill gates, distributed constraint satisfaction problem Key Phrases - Capitalized Phrases (CAPs): (learn more)
International Conference, Lecture Notes, Morgan Kaufmann, San Francisco, Cambridge University Press, New York, Computer Supported Cooperative Work, Zone Logic, European Workshop, General Magic, Les Gasser, Stanford University, European Conference, Mendez Alvaro, Modelling Autonomous Agents, Multi-Agent World, San Mateo, Gerard Tel, Springer Verlag, David Schmeidler, Elisha Pazner, Hugo Sonnenschein, Lawrence Erlbaum Associates, Cristiano Castelfranchi, International Workshop New!
Books on Related Topics | Concordance | Text Stats Browse Sample Pages:
Front Cover | Table of Contents | First Pages | Index | Back Cover | Surprise Me!
Citations (learn more)
63
books
cite this book:
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- Agent Technology For E-Commerce by Maria Fasli on 5 pages
- Engineering Societies in the Agents World IV: 4th International Workshop, ESAW 2003, London, UK, October 29-31, 2003, Revised Selected and Invited ... / Lecture Notes in Artificial Intelligence) by Andrea Omicini on page 105, page 153, and Back Matter
- Intelligent Decision-making Support Systems: Foundations, Applications and Challenges (Decision Engineering) by Jatinder N.D. Gupta on page 300, page 397, and page 399
- Agent-Mediated Knowledge Management: International Symposium AMKM 2003, Stanford, CA, USA, March 24-26, 2003, Revised and Invited Papers (Lecture ... / Lecture Notes in Artificial Intelligence) by Ludger van Elst on page 29, page 30, and page 350
- Agent Technology from a Formal Perspective (NASA Monographs in Systems and Software Engineering) by Michael Hinchey on page 135, and page 136
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