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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Bibliographic Details
Corporate Author: InfoSci-Books
Other Authors: Hoey, Jesse, Morales, Eduardo F., Sucar, L. Enrique, 1957-
Format: Ebook
Language:English
Published: Hershey, PA : Information Science Reference, c2012.
Subjects:
Online Access:IGI Global e-Book Collection
Table of Contents:
  • 1. Fundamentals
  • 1. Introduction / L. Enrique Sucar, Eduardo Morales, Jesse Hoey
  • 2. Introduction to Bayesian Networks and Influence Diagrams / Luis Enrique Sucar
  • 3. An Introduction to Fully and Partially Observable Markov Decision Processes / Pascal Poupart
  • 4. An Introduction to Reinforcement Learning / Eduardo F. Morales, Julio H. Zaragoza
  • Section 2. Concepts:
  • 5. Inference Strategies for Solving Semi-Markov Decision Processes / Matthew Hoffman, Nando de Freitas
  • 6. Multistage Stochastic Programming: A Scenario Tree Based Approach to Planning under Uncertainty / Boris Defourny, Damien Ernst, Louis Wehenkel
  • 7. Automatically Generated Explanations for Markov Decision Processes / Omar Zia Khan, Pascal Poupart, James P. Black
  • 8. Dynamic LIMIDS / Francisco J. Díez, Marcel A. J. van Gerven
  • 9. Relational Representations and Traces for Efficient Reinforcement Learning / Eduardo F. Morales, Julio H. Zaragoza
  • Section 3. Solutions:
  • 10. A Decision-Theoretic Tutor for Analogical Problem Solving / Kasia Muldner, Cristina Conati
  • 11. Dynamic Decision Networks Applications in Active Learning Simulators / Julieta Noguez, Karla Muñoz, Luis Neri, Víctor Robledo-Rella, Gerardo Aguilar
  • 12. An Intelligent Assistant for Power Plant Operation and Training Based on Decision-Theoretic Planning / Alberto Reyes, Francisco Elizalde
  • 13. POMDP Models for Assistive Technology / Jesse Hoey, Pascal Poupart, Craig Boutilier, Alex Mihailidis
  • 14. A Case Study of Applying Decision Theory in the Real World: POMDPs and Spoken Dialog Systems / Jason D. Williams
  • 15. Task Coordination for Service Robots Based on Multiple Markov Decision Processes / Elva Corona, L. Enrique Sucar
  • 16. Applications of DEC-MDPs in Multi-Robot Systems / Aurélie Beynier, Abdel-Illah Mouaddib.
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