KU ScholarWorks >
School of Business >
School of Business Articles >

Please use this identifier to cite or link to this item: http://hdl.handle.net/1808/967
View usage statistics

Full metadata record

DC FieldValueLanguage
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.en
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.en
dc.format.extent313928 bytes-
dc.format.mimetypeapplication/pdf-
dc.language.isoenen
dc.publisherElsevier Inc.en
dc.subjectAsymmetric decision problemsen
dc.subjectinfluence diagramsen
dc.subjectsequential valuation networksen
dc.subjectunconstrained influence diagramsen
dc.titleSequential influence diagrams: A unified asymmetry frameworken
dc.typeArticleen
Appears in Collections:School of Business Articles

Files in this Item:

File Description SizeFormat
SIDIJAR06.pdf306.57 kBAdobe PDFView/Open