Probabilistic Reasoning in Multiagent Systems - A Graphical Models Approach

Klappentext Addresses the challenges of building intelligent agents to cooperate on complex tasks in uncertain environments. Zusammenfassung 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. Inhaltsverzeichnis 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.

Product details

• Authors: Yang Xiang, Yang (University of Guelph Xiang, Xiang Yang
• Publisher: Cambridge University Press ELT
• Languages: English
• Product format: Paperback / Softback
• Released: 24.06.2010
• EAN: 9780521153904
• ISBN: 978-0-521-15390-4
• No. of pages: 308
• Subjects: Guides; Natural sciences, medicine, IT, technology > IT, data processing > IT; MATHEMATICS / Probability & Statistics / General, COMPUTERS / Machine Theory, Probability & statistics, Mathematical theory of computation, Probability and statistics