Probabilistic Reasoning in Multiagent Systems: A Graphical Models Approach
ISBN-13:
9780521153904
ISBN-10:
0521153905
Edition:
1
Author:
Yang Xiang
Publication date:
2010
Publisher:
Cambridge University Press
Format:
Paperback
308 pages
Category:
AI & Machine Learning
,
Mathematics
,
Computer Science
FREE US shipping
Book details
ISBN-13:
9780521153904
ISBN-10:
0521153905
Edition:
1
Author:
Yang Xiang
Publication date:
2010
Publisher:
Cambridge University Press
Format:
Paperback
308 pages
Category:
AI & Machine Learning
,
Mathematics
,
Computer Science
Summary
Probabilistic Reasoning in Multiagent Systems: A Graphical Models Approach (ISBN-13: 9780521153904 and ISBN-10: 0521153905), written by authors
Yang Xiang, was published by Cambridge University Press in 2010.
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Description
Probalistic reasoning with graphical models, also known as Bayesian networks or belief networks, has become an active field of research and practice in artifical intelligence, operations research and statistics in the last two decades. The success of this technique in modeling intelligent decision support systems under the centralized and single-agent paradim has been striking. In this book, the author extends graphical dependence models to the distributed and multi-agent paradigm. He identifies the major technical challenges involved in such an endeavor and presents the results gleaned from a decade's research.
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