Probabilistic Reasoning in Multiagent Systems: A Graphical Models Approach - Rilegato

Xiang, Yang

 
9780521813082: Probabilistic Reasoning in Multiagent Systems: A Graphical Models Approach

Sinossi

Addresses the challenges of building intelligent agents to cooperate on complex tasks in uncertain environments.

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Recensione

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

Descrizione del libro

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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Altre edizioni note dello stesso titolo

9780521153904: Probabilistic Reasoning in Multiagent Systems: A Graphical Models Approach

Edizione in evidenza

ISBN 10:  0521153905 ISBN 13:  9780521153904
Casa editrice: Cambridge University Press, 2010
Brossura