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

• Corporate Author: IGI Global.
• Other Authors: Sucar, L. Enrique, 1957-, Morales, Eduardo F., Hoey, Jesse.
• Format: Electronic
• Language: English
• Published: Hershey, Pa. : IGI Global (701 E. Chocolate Avenue, Hershey, Pennsylvania, 17033, USA), 2011.
• Subjects: Artificial intelligence > Statistical methods.; Bayesian statistical decision theory.; Active learning simulators; Bayesian networks; Decision theoretic models; Health in the home; Dynamic decision networks applications; Markov decision processes; Intelligent assistants; Power plant operations; Multistage stochastic programming; Reinforcement learning; Semi-Markov decision processes; Task coordination for service robots
• Online Access: Chapter PDFs via platform:

"This book 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"--

Table of Contents:

• 1. Introduction / L. Enrique Sucar, Eduardo Morales and 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 and Julio H. Zaragoza
• 5. Inference strategies for solving semi-Markov decision processes / Matthew Hoffman and Nando de Freitas
• 6. Multistage stochastic programming: a scenario tree based approach to planning under uncertainty / Boris Defourny, Damien Ernst and Louis Wehenkel
• 7. Automatically generated explanations for Markov decision processes / Omar Zia Khan, Pascal Poupart and James P. Black
• 8. Dynamic LIMIDS / Francisco J. Díez and Marcel A. J. van Gerven
• 9. Relational representations and traces for efficient reinforcement learning / Eduardo F. Morales and Julio H. Zaragoza
• 10. A decision-theoretic tutor for analogical problem solving / Kasia Muldner and Cristina Conati
• 11. Dynamic decision networks applications in active learning simulators / Julieta Noguez ... [et al.]
• 12. An intelligent assistant for power plant operation and training based on decision-theoretic planning / Alberto Reyes and Francisco Elizalde
• 13. POMDP models for assistive technology / Jesse Hoey, Pascal Poupart, Craig Boutilier and 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 and L. Enrique Sucar
• 16. Applications of DEC-MDPs in multi-robot systems / Aurélie Beynier and Abdel-Illah Mouaddib.