Abstract
This chapter introduces decision models. First, a brief review of the fundamentals of decision theory is presented. Second, we describe decision trees and their evaluation strategy. Third, influence diagrams are introduced, including two alternative evaluation strategies: variable elimination and transformation to a Bayesian network. The chapter concludes with an application of a decision model that acts as a caregiver to guide an elderly or handicapped person in cleaning her hands.
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References
Cole, S., Rowley, J.: Revisiting decision trees. Manag. Decis. 33(8), 46–50 (1995)
Cooper, G.: A method for using belief networks as influence diagrams. In: Proceedings of the Twelfth Conference on Uncertainty in Artificial Intelligence (UAI), pp. 55–63 (1988)
Howard, R., Matheson, J.: Influence diagrams. In: Howard, R., Matheson, J. (eds.) Readings on the Principles and Applications of Decision Analysis. Strategic Decisions Group, Menlo Park (1984)
Jensen, F.V.: Bayesian Networks and Decision Graphs. Springer, New York (2001)
Lauritzen, S., Nilsson, D.: Representing and solving decision problems with limited information. Manag. Sci. 47, 1235–1251 (2001)
Ley-Borrás, R.: Análisis de Incertidumbre y Riesgo para la Toma de Decisiones. Comunidad Morelos, Orizaba, Mexico (2001) (In Spanish)
Montero, A., Sucar, L.E.: Decision-theoretic assistants based on contextual gesture recognition. Ann. Inf. Syst. (to be published)
Shachter, R.D.: Evaluating influence diagrams. Oper. Res. 34(6), 871–882 (1986)
Shachter, R.D., Peot, M.: Decision making using probabilistic inference methods. In: Proceedings of the Eighth Conference on Uncertainty in Artificial Intelligence (UAI), pp. 276–283 (1992)
van Gerven, M.A.J., Díez, F.J., Taal, B.G., Lucas, P.J.F.: Selecting treatment strategies with dynamic limited-memory influence diagrams. Artif. Intell. Med. 40(3), 171–186 (2007)
von Neumann, J., Morgenstern, O.: Theory of Games and Economic Behavior. Princeton University Press, Princeton (1944)
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Sucar, L.E. (2015). Decision Graphs. In: Probabilistic Graphical Models. Advances in Computer Vision and Pattern Recognition. Springer, London. https://doi.org/10.1007/978-1-4471-6699-3_10
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DOI: https://doi.org/10.1007/978-1-4471-6699-3_10
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