Decision Theory Models for Applications in Artificial Intelligence: Concepts and Solutions
Download or Read eBook Decision Theory Models for Applications in Artificial Intelligence: Concepts and Solutions PDF written by Sucar, L. Enrique and published by IGI Global. This book was released on 2011-10-31 with total page 444 pages. Available in PDF, EPUB and Kindle.
| Author | : Sucar, L. Enrique |
| Publisher | : IGI Global |
| Total Pages | : 444 |
| Release | : 2011-10-31 |
| ISBN-10 | : 9781609601676 |
| ISBN-13 | : 160960167X |
| Rating | : 4/5 (76 Downloads) |
Book Synopsis Decision Theory Models for Applications in Artificial Intelligence: Concepts and Solutions by : Sucar, L. Enrique
Book excerpt: 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.
