Probabilistic reasoning in multiagent systems : a graphical models approach /

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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 u...

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Détails bibliographiques
Cote:Libro Electrónico
Auteur principal: Xiang, Yang, 1954-
Format: Électronique eBook
Langue:Inglés
Publié: Cambridge ; New York : Cambridge University Press, 2002.
Sujets:
Distributed artificial intelligence.
Bayesian statistical decision theory > Data processing.
Intelligent agents (Computer software)
Bayesian statistical decision theory.
Intelligence artificielle répartie.
Théorie de la décision bayésienne.
Agents intelligents (Logiciels)
Théorie de la décision bayésienne > Informatique.
COMPUTERS > Enterprise Applications > Business Intelligence Tools.
COMPUTERS > Intelligence (AI) & Semantics.
Bayesian statistical decision theory
Bayesian statistical decision theory > Data processing
Distributed artificial intelligence
Agentia.
Kunstmatige intelligentie.
Gedistribueerde gegevensverwerking.
Methode van Bayes.
Decision support systems.
Grafische methoden.
Leermiddelen (vorm)
Accès en ligne:Texto completo
Table des matières:
  • 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.

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