Decision Theory Models for Applications in Artificial Intelligence Concepts and Solutions 1st Edition by L Enrique Sucar, Eduardo F Morales, Jesse Hoey – Ebook PDF Instant Download/Delivery: 1609601653, 9781609601652
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Product details:
ISBN 10: 1609601653
ISBN 13: 9781609601652
Author: 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 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.
Decision Theory Models for Applications in Artificial Intelligence Concepts and Solutions 1st Table of contents:
Section 1
Introduction
Introduction to Bayesian Networks and Influence Diagrams
An Introduction to Fully and Partially Observable Markov Decision Processes
An Introduction to Reinforcement Learning
Section 2
Inference Strategies for Solving Semi-Markov Decision Processes
Multistage Stochastic Programming
Automatically Generated Explanations for Markov Decision Processes
Dynamic LIMIDS
Relational Representations and Traces for Efficient Reinforcement Learning
Section 3
A Decision-Theoretic Tutor for Analogical Problem Solving
Dynamic Decision Networks Applications in Active Learning Simulators
An Intelligent Assistant for Power Plant Operation and Training Based on Decision-Theoretic Planning
POMDP Models for Assistive Technology
A Case Study of Applying Decision Theory in the Real World
Task Coordination for Service Robots Based on Multiple Markov Decision Processes
Applications of DEC-MDPs in Multi-Robot Systems
Compilation of References
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Tags: L Enrique Sucar, Eduardo F Morales, Jesse Hoey, Decision, Theory



