Probabilistic Reasoning in Multiagent Systems

Description

This book investigates the opportunities in building intelligent decision support systems offered by multi-agent distributed probabilistic reasoning. Probabilistic reasoning with graphical models, also known as Bayesian networks or belief networks, has become an active field of research and practice in artificial 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 paradigm 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 from a decade's research. The framework developed in the book allows distributed representation of uncertain knowledge on a large and complex environment embedded in multiple cooperative agents, and effective, exact and distributed probabilistic inference.

First Sentence

An intelligent agent is a computational or natural system that senses its environment and takes actions intelligently according to its goals.

Subjects

Other Editions

• Probabilistic Reasoning in Multiagent Systems: A Graphical Models ApproachHardcoverCambridge University Press2002-09-15
• Probabilistic Reasoning in Multiagent SystemseBookCambridge University Press2002-01-01
• Probabilistic Reasoning in Multiagent SystemsCambridge University Press2010-01-01