Description: Probabilistic Reasoning in Multiagent Systems by Yang Xiang 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. FORMAT Paperback LANGUAGE English CONDITION Brand New Publisher Description 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. Table of Contents Preface; 1. Introduction; 2. Bayesian networks; 3. Belief updating and cluster graphs; 4. Junction tree representation; 5. Belief updating with junction trees; 6. Multiply sectioned Bayesian networks; 7. Linked junction forests; 8. Distributed multi-agent inference; 9. Model construction and verification; 10. Looking into the future; Bibliography; Index. Review Review of the hardback: … this is a valuable and welcome comprehensive guide to the state-of-the-art in applying belief networks. KybernetesReview of the hardback: … the well-balanced treatment of multiagent systems will make the book useful to both theoretical computer scientists and the more applied artificial intelligence community. Moreover, the interdisciplinary nature of the subject makes it relevant not only to computer scientists but also to people from operations research and microeconomics (social choice and game theory in particular). The book easily deserves to be on the shelf of any modern theoretical computer scientist. SIGACT News Promotional Addresses the challenges of building intelligent agents to cooperate on complex tasks in uncertain environments. Review Quote ? this is a valuable and welcome comprehensive guide to the state-of-the-art in applying belief networks.? Kybernetes Promotional "Headline" Addresses the challenges of building intelligent agents to cooperate on complex tasks in uncertain environments. Description for Bookstore 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. Description for Library 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. Details ISBN0521153905 Author Yang Xiang Pages 308 Publisher Cambridge University Press Year 2010 ISBN-10 0521153905 ISBN-13 9780521153904 Format Paperback Publication Date 2010-06-24 Imprint Cambridge University Press Subtitle A Graphical Models Approach Place of Publication Cambridge Country of Publication United Kingdom DEWEY 006.333 Short Title PROBABILISTIC REASONING IN MUL Language English Media Book Birth 1954 Affiliation University of Guelph, Ontario UK Release Date 2010-06-24 AU Release Date 2010-06-24 NZ Release Date 2010-06-24 Illustrations Worked examples or Exercises Alternative 9780511546938 Audience Professional & Vocational We've got this At The Nile, if you're looking for it, we've got it. With fast shipping, low prices, friendly service and well over a million items - you're bound to find what you want, at a price you'll love! TheNile_Item_ID:91379980;
Price: 112.56 AUD
Location: Melbourne
End Time: 2024-12-06T03:24:22.000Z
Shipping Cost: 10.03 AUD
Product Images
Item Specifics
Restocking fee: No
Return shipping will be paid by: Buyer
Returns Accepted: Returns Accepted
Item must be returned within: 30 Days
ISBN-13: 9780521153904
Book Title: Probabilistic Reasoning in Multiagent Systems
Number of Pages: 308 Pages
Language: English
Publication Name: Probabilistic Reasoning in Multiagent Systems: a Graphical Models Approach
Publisher: Cambridge University Press
Publication Year: 2010
Subject: Computer Science, Mathematics
Item Height: 244 mm
Item Weight: 490 g
Type: Textbook
Author: Yang Xiang
Item Width: 170 mm
Format: Paperback
