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

• 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
• Online Access: Chapter PDFs via platform:
• Physical Description: electronic texts (384 p.) : digital files.; Also available in print.
• Format: Mode of access: World Wide Web.
• Bibliography: Includes bibliographical references.
• ISBN: 9781609601676 (ebook)
• Access: Restricted to subscribers or individual electronic text purchasers.

"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"--