- Paperback: 644 pages
- Publisher: MIT Press; New Ed edition (14 Sep 2000)
- Language English
- ISBN-10: 0262731312
- ISBN-13: 978-0262731317
- Product Dimensions: 25.2 x 20.3 x 3.6 cm
- Average Customer Review: 1.0 out of 5 stars See all reviews (1 customer review)
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Amazon Bestsellers Rank:
555,639 in Books (See Top 100 in Books)
- #14 in Books > Computers & Internet > Computer Science > Networking & Security > Network Topics > Distributed Computing
- #34 in Books > Computers & Internet > Computer Science > Artificial Intelligence > Robotics
- #40 in Books > Art, Architecture & Photography > Painting & Drawing > Criticism & Theory > Modernism
- See Complete Table of Contents
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Product Description
Product Description
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.
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
Front Cover | Copyright | Table of Contents | Excerpt | Index | Back Cover
Since its inception in the mid to late 1970s distributed artificial intelligence (DAI) evolved and diversified rapidly. Read the first page
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Concordance
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Front Cover | Copyright | Table of Contents | Excerpt | Index | Back Cover
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Customer Reviews
Most Helpful Customer Reviews
2 of 2 people found the following review helpful
This is a heavy-weight text that promises a lot. The table of contents suggests a useful coverage of many important areas in distributed artificial intelligence. Unfortunately, this book is full of loose and unsupported statements such as claims of multi-agent systems automatically leading to computational speed-ups due to parallelism. This is, of course, a radical claim for anyone with real-world experience in designing these systems. In this sense, the book is very unbalanced, neglecting to emphasise the difficulties in designing these systems and not providing any guidelines on how to do so. The authors would have been better consulting distributed AI architects to anchor this text in the real world. Do not waste your time here if you intend to attempt to develop reliable and efficient multi-agent systems.
Most Helpful Customer Reviews on Amazon.com (beta)
Amazon.com:
2 reviews
14 of 16 people found the following review helpful
Excellent Theoretical and Practical Book
31 Oct 2001
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
A comprehensive monography
6 Sep 2005
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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