Probabilistic Reasoning in Multiagent Systems: A Graphical Models Approach Contributor(s): Xiang, Yang (Author) |
|
ISBN: 0521153905 ISBN-13: 9780521153904 Publisher: Cambridge University Press OUR PRICE: $56.04 Product Type: Paperback - Other Formats Published: June 2010 |
Additional Information |
BISAC Categories: - Computers | Intelligence (ai) & Semantics - Mathematics |
Dewey: 006.3 |
Physical Information: 0.65" H x 6.69" W x 9.61" (1.09 lbs) 308 pages |
Descriptions, Reviews, Etc. |
Publisher 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. |