Probabilistic Reasoning in Multiagent Systems: A Graphical Models Approach (Paperback) (ISBN-13: 9780521153904)

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.

Author: Yang Xiang
ISBN-10: 0521153905
ISBN-13: 9780521153904
Publisher: Cambridge University Press
Language: English
Published: 06/24/2010
Pages: 308
Format: Paperback
Weight: 1.09lbs
Size: 9.61h x 6.69w x 0.65d