Titre: Decision Theory Models for Applications in Artificial Intelligence: Concepts and Solutions
�diteur: IGI Global (edition 1)
Date de parution: 2011
Langue: anglais
ISBN � 10 chiffres: 1609601653
ISBN � 13 chiffres: 9781609601652
Reliure: Hardcover
�dition: 1.
�tat de l'article: Very Good

A propos de ce titre

Synopsis

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.

Pr�sentation de l'�diteur

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.

Les informations fournies dans la section � A propos du livre � peuvent faire r�f�rence � une autre �dition de ce titre.

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