Probabilistic Reasoning in Multiagent Systems - A Graphical Models Approach (Hardcover)

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.

General

Imprint:	Cambridge UniversityPress
Country of origin:	United Kingdom
Release date:	August 2002
First published:	2002
Authors:	Yang Xiang
Dimensions:	254 x 178 x 19mm (L x W x T)
Format:	Hardcover
Pages:	308
ISBN-13:	978-0-521-81308-2
Categories:	Books > Science & Mathematics > Mathematics > Probability & statistics Books > Computing & IT > General theory of computing > Mathematical theory of computation
LSN:	0-521-81308-5
Barcode:	9780521813082

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