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Can I read Probabilistic Reasoning in Multi-agent Systems : a Graphical Models Approach on EtoBox?
Probabilistic Reasoning in Multi-agent Systems : a Graphical Models Approach by Xiang, Yang. is a nonfiction available to read on EtoBox.
What is Probabilistic Reasoning in Multi-agent Systems : a Graphical Models Approach about?
This 2002 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 increasingly an active field of research and practice in artificial intelligence, operations research and statistics. The success of this technique in modeling intelligent decision support systems under the centralized and single-agent paradigm has been striking. Yang Xiang 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. 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.
Who reads Probabilistic Reasoning in Multi-agent Systems : a Graphical Models Approach?
It is typically read by self-directed learners exploring a subject in depth.
Common subject areas: history, science, philosophy, social sciences.
- Author
- Xiang, Yang.
- Publisher
- Cambridge University Press (Virtual Publishing)
- Published
- 2004
- Language
- EN
- ISBN
- 9780511305160
- Category
- nonfiction
- Subjects
- Business, Science, Computer Science
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