Synopsis
Addresses the challenges of building intelligent agents to cooperate on complex tasks in uncertain environments.
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Review
Review of the hardback: '... this is a valuable and welcome comprehensive guide to the state-of-the-art in applying belief networks.' Kybernetes
Review of the hardback: '... the well-balanced treatment of multiagent systems will make the book useful to both theoretical computer scientists and the more applied artificial intelligence community. Moreover, the interdisciplinary nature of the subject makes it relevant not only to computer scientists but also to people from operations research and microeconomics (social choice and game theory in particular). The book easily deserves to be on the shelf of any modern theoretical computer scientist.' SIGACT News
Book Description
This 2002 book identifies the technical challenges in building intelligent agents that can cooperate on complex tasks in an uncertain environment and provides a rigorous framework for meeting these challenges. It is a comprehensive book that addresses the subject of probabilistic inference by multiple agents using graphical knowledge representations.
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Probabilistic Reasoning in Multiagent Systems: A Graphical Models Approach
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Cambridge University Press, 2002
ISBN 10: 0521813085
ISBN 13: 9780521813082
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Probabilistic Reasoning in Multiagent Systems: A Graphical Models Approach
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ISBN 10: 0521813085
ISBN 13: 9780521813082
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Probabilistic Reasoning in Multiagent Systems: A Graphical Models Approach
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ISBN 10: 0521813085
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Probabilistic Reasoning in Multiagent Systems
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ISBN 10: 0521813085
ISBN 13: 9780521813082
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Probabilistic Reasoning in Multiagent Systems: A Graphical Models Approach
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ISBN 10: 0521813085
ISBN 13: 9780521813082
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Probabilistic Reasoning in Multiagent Systems
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ISBN 10: 0521813085
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Probabilistic Reasoning In Multiagent Systems
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ISBN 13: 9780521813082
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Probabilistic Reasoning In Multiagent Systems
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Probabilistic Reasoning in Multiagent Systems: A Graphical Models Approach
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