Probabilistic Reasoning Multiagent Systems by Xiang Yang (35 results)

Condition: Like New. Page block firm and clean, binding unblemished, boards straight, no markings of any kind. Fine, like new condition. Well packaged and promptly shipped from California. Partnered with Friends of the Library since 2010.

Condition: Very Good. Former library copy. Pages intact with possible writing/highlighting. Binding strong with minor wear. Dust jackets/supplements may not be included. Includes library markings. Stock photo provided. Product includes identifying sticker. Better World Books: Buy Books. Do Good.

Hardcover. Condition: Good. Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority.

Hardcover. Condition: As New. No Jacket. Hbk, royal 8vo, 294pp, illustr graphs, charts, diagrams, small rem mark on lower foredge no dj as issued, fine decorated laminated boards, small rem mark on lower foredge, an unread copy, excellent, clean, tight and unmarked, as new.

Condition: New.

Condition: New.

Hardcover. Condition: Fine. Still in shrink-wrap. Historic Oklahoma Bookstore on Route 66. Packages shipped daily, Mon-Friday.

Condition: As New. Unread book in perfect condition.

Condition: New. Addresses the challenges of building intelligent agents to cooperate on complex tasks in uncertain environments. Num Pages: 308 pages, Illustrations. BIC Classification: PBT; UYA. Category: (P) Professional & Vocational. Dimension: 244 x 170 x 16. Weight in Grams: 490. . 2010. 1st Edition. paperback. . . . .…

Condition: New. In English.

Condition: New.

Condition: As New. Unread book in perfect condition.

Condition: Brand New. New. US edition. Expediting shipping for all USA and Europe orders excluding PO Box. Excellent Customer Service.

Condition: New. This is a Brand-new US Edition. This Item may be shipped from US or any other country as we have multiple locations worldwide.

Condition: New. Addresses the challenges of building intelligent agents to cooperate on complex tasks in uncertain environments. Num Pages: 308 pages, Illustrations. BIC Classification: PBT; UYA. Category: (P) Professional & Vocational. Dimension: 244 x 170 x 16. Weight in Grams: 490. . 2010. 1st Edition. paperback. . . . . Books ship from the US and Ireland.…

Condition: Used. pp. 308 Index.

Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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.…

Condition: Used. pp. 308 Illus.

Condition: Used. pp. 308.

Condition: New.

Condition: New. Addresses the challenges of building intelligent agents to cooperate on complex tasks in uncertain environments. Num Pages: 308 pages, 185 b/w illus. 22 tables. BIC Classification: PBT; UYA. Category: (P) Professional & Vocational. Dimension: 247 x 174 x 19. Weight in Grams: 764. . 2002. Illustrated. hardcover. . . . . …

Condition: New. In English.

Condition: New. Addresses the challenges of building intelligent agents to cooperate on complex tasks in uncertain environments. Num Pages: 308 pages, 185 b/w illus. 22 tables. BIC Classification: PBT; UYA. Category: (P) Professional & Vocational. Dimension: 247 x 174 x 19. Weight in Grams: 764. . 2002. Illustrated. hardcover. . . . . Books ship from the US and Ireland. …

Buch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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.…

Condition: New. Print on Demand pp. 308 67:B&W 6.69 x 9.61 in or 244 x 170 mm (Pinched Crown) Perfect Bound on White w/Gloss Lam.

Condition: New. Print on Demand pp. 308.

Condition: New. PRINT ON DEMAND pp. 308.

Paperback / softback. Condition: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days.

Paperback. Condition: new. Paperback. 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. This 2002 book identifies the technical challenges in building intelligent agents that can cooperate on complex tasks in an uncertain environment and provides a rigorous framework for meeting these challenges. It is a comprehensive book that addresses the subject of probabilistic inference by multiple agents using graphical knowledge representations. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.…

Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. This 2002 book identifies the technical challenges in building intelligent agents that can cooperate on complex tasks in an uncertain environment and provides a rigorous framework for meeting these challenges. It is a comprehensive book that addresses the s.…