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

English
2010-07-02
€100.23 €143.18

-30% with code BOOKS

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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 exte ... Full description

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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.

More Information

Author Yang Xiang
Publisher Cambridge University Press
Release year 2010
Cover type Softcover
EAN 9780521153904
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€100.23 €143.18