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Probabilistic Reasoning in Multiagent Systems: A Graphical Models Approach by Yang Xiang

Posted By: Alexpal
Probabilistic Reasoning in Multiagent Systems: A Graphical Models Approach by  Yang Xiang

Probabilistic Reasoning in Multiagent Systems: A Graphical Models Approach by Yang Xiang
Publisher: Cambridge University Press; 1st edition (September 15, 2002) | ISBN: 0521813085 | CHM | 12,1 Mb | 320 pages

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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