Decision theory models for applications in artificial intelligence : concepts and solutions

Decision theory models for applications in artificial intelligence concepts and solutions

"This book provides an introduction to different types of decision theory techniques, including MDPs, POMDPs, Influence Diagrams, and Reinforcement Learning, and illustrates their application in artificial intelligence"--

Gespeichert in:
Bibliographische Detailangaben
Weitere Verfasser: Sucar, L. Enrique (BerichterstatterIn), Morales, Eduardo F. (BerichterstatterIn), Hoey, Jesse (BerichterstatterIn)
Format: UnknownFormat
Sprache:eng
Veröffentlicht: Hershey, Pa. Information Science Reference, IGI Global c 2012
Schriftenreihe:Premier reference source
Schlagworte:
Artificial intelligence > Statistical methods > Bayesian statistical decision theory > Statistische Entscheidungstheorie > Künstliche Intelligenz
Online Zugang:Inhaltsverzeichnis
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Beschreibung
Zusammenfassung:"This book provides an introduction to different types of decision theory techniques, including MDPs, POMDPs, Influence Diagrams, and Reinforcement Learning, and illustrates their application in artificial intelligence"--
"This book provides an introduction to different types of decision theory techniques, including MDPs, POMDPs, Influence Diagrams, and Reinforcement Learning, and illustrates their application in artificial intelligence"--
Beschreibung:With several chapters related to the project FONCICYT 95185 "Dynamic Probabilistic Graphical Models and Applications", sponsored by CONACYT, Mexico, and the European Union
Includes bibliographical references and index
Beschreibung:XIV, 428 S.
Ill., graph. Darst.
ISBN:9781609601652
978-1-60960-165-2