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Decision theory models for applications in artificial intelligence: concepts and solutions

By: Contributor(s): Material type: TextTextPublication details: Hershey Information Science Reference 2012 Description: xiv, 423 pISBN:
  • 9781609601652
Subject(s): DDC classification:
  • 006.3
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. (http://www.igi-global.com/book/decision-theory-models-applications-artificial/45946)
List(s) this item appears in: IT and Decision Science | Artificial Intelligence (AI) | Artificial intelligence
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Item type Current library Item location Shelving location Call number Status Date due Barcode
Books Vikram Sarabhai Library Rack 3-B / Slot 105 (0 Floor, West Wing) General Stacks 006.3 S8D3 (Browse shelf(Opens below)) Available 175887

Includes bibliographical references (p. 385-416) and index.

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. (http://www.igi-global.com/book/decision-theory-models-applications-artificial/45946)

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