Probabilistic reasoning in multiagent systems: a graphical models approach
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Bibliographische Detailangaben
1. Verfasser: Xiang, Yang (VerfasserIn)
Format: Elektronisch E-Book
Sprache:English
Veröffentlicht: Cambridge Cambridge University Press 2002
Schlagworte:
Online-Zugang:Volltext
Beschreibung:Includes bibliographical references (pages 287-291) and index
Cover; Half-title; Title; Copyright; 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 Multiagent Inference; 9 Model Construction and Verification; 10 Looking into the Future; Bibliography; Index
This 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 the first book that addresses the subject of probabilistic inference by multiple agents using graphical knowledge representations
Beschreibung:1 Online-Ressource (xii, 294 pages)
ISBN:0511020740
9780511020742
0511045441
9780511045448
9780521813082
0521813085
0511148127
9780511148125

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