We describe a new graphical language for specifying asymmetric decision problems. The language is based on a filtered merge of several existing languages including sequential valuation networks, asymmetric influence diagrams, and unconstrained influence diagrams. Asymmetry is encoded using a structure resembling a clustered decision tree, whereas the representation of the uncertainty model is based on the (unconstrained) influence diagram framework. We illustrate the proposed language by modeling several highly asymmetric decision problems, and we outline an efficient solution procedure.
Jensen, F. V., T. D. Nielsen, and P. P. Shenoy, "Sequential Influence Diagrams: A Unified Asymmetry Framework," in P. Lucas (ed.), Proceedings of the Second European Workshop on Probabilistic Graphical Models (PGM-04), 2004, pp. 121--128, Lorentz Center, Leiden, Netherlands.
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