Decision theory models for applications in artificial intelligence : concepts and solutions / [edited by] L. Enrique Sucar, Eduardo F. Morales, Jesse Hoey.
"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...
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| Other Authors: | , , |
| Format: | Ebook |
| Language: | English |
| Published: |
Hershey, PA :
Information Science Reference,
c2012.
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| Subjects: | |
| Online Access: | IGI Global e-Book Collection |
| Summary: | "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."--Publisher's website. |
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| Physical Description: | 1 electronic document. |
| Bibliography: | Includes bibliographical references (p.385-416) and index. |
| ISBN: | 1283341212 1466605308 160960167X 9781283341219 9781466605305 9781609601676 |