Decision Theory Models for Applications in Artificial Intelligence: Concepts and Solutions by L. SucarDecision Theory Models for Applications in Artificial Intelligence: Concepts and Solutions by L. Sucar

Decision Theory Models for Applications in Artificial Intelligence: Concepts and Solutions

byL. Sucar

Hardcover | October 31, 2011

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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.
Title:Decision Theory Models for Applications in Artificial Intelligence: Concepts and SolutionsFormat:HardcoverDimensions:350 pages, 9.41 × 7.24 × 0.98 inPublished:October 31, 2011Publisher:Igi GlobalLanguage:English

The following ISBNs are associated with this title:

ISBN - 10:1609601653

ISBN - 13:9781609601652

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