Manual Probabilistic Reasoning in Multiagent Systems: A Graphical Models Approach

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Artificial Intelligence Bayesian networks graphical models uncertain reasoning multiagent systems.

Artificial Intelligence in Medicine 5, , Workshop on Rough Sets and Soft Computing, , International Journal of Approximate Reasoning 23, , IEEE Trans. You also may like to try some of these bookshops , which may or may not sell this item.

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Please enable cookies in your browser to get the full Trove experience. Skip to content Skip to search. Published Cambridge : Cambridge University Press, Language English View all editions Prev Next edition 2 of 8. Content Types text Carrier Types online resource Physical Description 1 online resource xii, pages : illustrations.

Read Reasoning with Probabilistic and Deterministic Graphical Models: Exact Algorithms (Synthesis

Subjects Electronic books. Multiagent systems. Intelligent agents Computer software Distributed artificial intelligence. Bayesian statistical decision theory -- Data processing.

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Methode van Bayes. Decision support systems. Grafische methoden. Summary 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.

Probabilistic Reasoning in Multiagent Systems: A Graphical Models Approach

It is the first book that addresses the subject of probabilistic inference by multiple agents using graphical knowledge representations. Introduction 2. Bayesian Networks 3.

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Belief Updating and Cluster Graphs 4. Junction Tree Representation 5.

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Belief Updating with Junction Trees 6. Multiply Sectioned Bayesian Networks 7. Linked Junction Forests 8.

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