Decision theory models for applications in artificial intelligence [electronic resource] : concepts and solutions / L. Enrique Sucar, Eduardo F. Morales and Jesse Hoey, editors.
Publisher: Hershey, Pa. : IGI Global (701 E. Chocolate Avenue, Hershey, Pennsylvania, 17033, USA), 2011Description: electronic texts (384 p.) : digital filesISBN:- 9781609601676
- Other title : InfoSci-Computer Science (selected 23 titles)
- 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
- Also available in print.
Includes bibliographical references.
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. D{u2A65}z 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 / Aurie Beynier and Abdel-Illah Mouaddib.
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'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'-- Provided by publisher.
Also available in print.
Mode of access: World Wide Web.
Description based on title screen (IGI Global, viewed November 19, 2011).
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