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

ISBN 10: 1609601653 ISBN 13: 9781609601652
Editorial: Information Science Reference, 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.

Reseña del editor: 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.

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Título: Decision Theory Models for Applications in ...
Editorial: Information Science Reference
Año de publicación: 2011
Encuadernación: Encuadernación de tapa dura
Condición: New

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