Decision theory models for applications in artificial intelligence: concepts and solutions
Sucar, L. Enrique
Decision theory models for applications in artificial intelligence: concepts and solutions - Hershey, USA IGI Global 2012 - xiv, 428 p.
Description
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.
9781609601652
Artificial intelligence--Statistical methods
Bayesian statistical decision theory
006.3 / SUC
Decision theory models for applications in artificial intelligence: concepts and solutions - Hershey, USA IGI Global 2012 - xiv, 428 p.
Description
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.
9781609601652
Artificial intelligence--Statistical methods
Bayesian statistical decision theory
006.3 / SUC