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dc.contributor.authorJensen, Finn V.
dc.contributor.authorNielsen, Thomas D.
dc.contributor.authorShenoy, Prakash P.
dc.date.accessioned2006-05-17T16:31:19Z
dc.date.available2006-05-17T16:31:19Z
dc.date.issued2006-05
dc.identifier.citationJensen, F. V., T. D. Nielsen, and P. P. Shenoy, "Sequential influence diagrams: A unified asymmetry framework," International Journal of Approximate Reasoning, Vol. 42, Nos. 1--2, 2006, pp. 101--118.
dc.identifier.issn0888-613X
dc.identifier.urihttp://hdl.handle.net/1808/967
dc.description.abstractWe 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 describe an efficient solution procedure.
dc.format.extent313928 bytes
dc.format.mimetypeapplication/pdf
dc.language.isoen
dc.publisherElsevier Inc.
dc.rightsThis work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subjectAsymmetric decision problems
dc.subjectInfluence diagrams
dc.subjectSequential valuation networks
dc.subjectUnconstrained influence diagrams
dc.titleSequential influence diagrams: A unified asymmetry framework
dc.typeArticle
dc.rights.accessrightsopenAccess


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This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
Except where otherwise noted, this item's license is described as: This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.