Decision theory models for applications in artificial intelligence
Subtitle: concepts and solutions
By: L. Enrique Sucar, Eduardo F. Morales and Jesse Hoey, editors
Publisher: Information Science Reference
Published: 2011
Place of publication: Hershey, PA
Language: eng
Number of pages: 350
ISBN-13: 9781609601652; 9781609601676
Subjects: Statistical methods; Bayesian statistical decision theory; Artificial intelligence
Description: "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"--
Notes: Includes bibliographical references and index.