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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"--

Bibliographic Details
Corporate Author: IGI Global.
Other Authors: Sucar, L. Enrique, 1957-, Morales, Eduardo F., Hoey, Jesse.
Format: Electronic
Language:English
Published: Hershey, Pa. : IGI Global (701 E. Chocolate Avenue, Hershey, Pennsylvania, 17033, USA), 2011.
Subjects:
Artificial intelligence > Statistical methods.
Bayesian statistical decision theory.
Active learning simulators
Bayesian networks
Decision theoretic models
Health in the home
Dynamic decision networks applications
Markov decision processes
Intelligent assistants
Power plant operations
Multistage stochastic programming
Reinforcement learning
Semi-Markov decision processes
Task coordination for service robots
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