Decision Theory Models for Applications in Artificial Intelligence Concepts and Solutions

This book PDF is perfect for those who love Computers genre, written by Sucar, L. Enrique and published by IGI Global which was released on 31 October 2011 with total hardcover pages 444. You could read this book directly on your devices with pdf, epub and kindle format, check detail and related Decision Theory Models for Applications in Artificial Intelligence Concepts and Solutions books below.

Decision Theory Models for Applications in Artificial Intelligence  Concepts and Solutions
Author : Sucar, L. Enrique
File Size : 42,8 Mb
Publisher : IGI Global
Language : English
Release Date : 31 October 2011
ISBN : 9781609601676
Pages : 444 pages
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Decision Theory Models for Applications in Artificial Intelligence Concepts and Solutions by Sucar, L. Enrique Book PDF 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.

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