Order-of-magnitude influence diagrams
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In this paper, we develop a qualitative theory of influence diagrams that can be used to model and solve sequential decision making tasks when only qualitative (or imprecise) information is available. Our approach is based on an order-of-magnitude approximation of both probabilities and utilities and allows for specifying partially ordered preferences via sets of utility values. We also propose a dedicated variable elimination algorithm that can be applied for solving order-of-magnitude influence diagrams.
Influence diagrams , Sequential decision making , Qualitative information , Order-of-magnitude , Utility values , Variable elimination algorithm
MARINESCU, R., RAZAK, A. & WILSON, N. 2011. Order-of-magnitude influence diagrams. In COZMAN, F. & PFEFFER, A. (eds.) UAI 2011: Twenty-Seventh Conference Conference on Uncertainty in Artificial Intelligence. Barcelona, Spain, 14-17 July. Corvallis, Oregon: AUAI Press, pp. 489-496.
© 2011, AUAI Press.