Decision Theory Models for Applications in Artificial Intelligence - Concepts and Solutions (Hardcover)

One of the goals of artificial intelligence (AI) is creating autonomous agents that must make decisions based on uncertain and incomplete information. The goal is to design rational agents that must take the best action given the information available and their goals. Decision Theory Models for Applications in Artificial Intelligence: Concepts and Solutions 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 insights into the advantages and challenges of using decision theory models for developing intelligent systems.

General

Imprint:	IGI Global
Country of origin:	United States
Release date:	October 2011
First published:	October 2011
Editors:	L. Enrique Sucar • Eduardo F. Morales • Jesse Hoey
Dimensions:	280 x 216 x 25mm (L x W x T)
Format:	Hardcover
Pages:	444
ISBN-13:	978-1-60960-165-2
Categories:	Books > Computing & IT > Applications of computing > Artificial intelligence > General
LSN:	1-60960-165-3
Barcode:	9781609601652

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