An axiomatic framework for influence diagram computation with partially ordered utilities

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dc.contributor.authorMarinescu, Radu
dc.contributor.authorWilson, Nic
dc.date.accessioned2014-02-17T10:21:32Z
dc.date.available2014-02-17T10:21:32Z
dc.date.copyright2012
dc.date.issued2012-06
dc.date.updated2012-12-20T18:12:19Z
dc.description.abstractThis paper presents an axiomatic framework for influence diagram computation, which allows reasoning with partially ordered values of utility. We show how an algorithm based on sequential variable elimination can be used to compute the set of maximal values of expected utility (up to an equivalence relation). Formalisms subsumed by the framework include decision making under uncertainty based on multi-objective utility, or on interval-valued utilities, as well as a more qualitative decision theory based on order-of-magnitude probabilities and utilities.en
dc.description.statusPeer revieweden
dc.description.urihttp://kr.org/KR2012/en
dc.description.versionAccepted Versionen
dc.format.mimetypeapplication/pdfen
dc.identifier.citationWILSON, N.and MARINESCU, R. 2012. An Axiomatic Framework for Influence Diagram Computation with Partially Ordered Utilities’. Thirteenth International Conference on the Principles of Knowledge Representation and Reasoning (KR 2012). University of Rome, Rome, 10-14 June 2012. Available at: <http://www.aaai.org/ocs/index.php/KR/KR12/paper/view/4514>.en
dc.identifier.urihttps://hdl.handle.net/10468/1384
dc.language.isoenen
dc.publisherAAAI Publicationsen
dc.relation.ispartofProceedings of 13th International Conference on Principles of Knowledge Representation and Reasoning (KR 2012), University of Rome, Rome, 10-12 June 2012
dc.relation.urihttp://www.aaai.org/ocs/index.php/KR/KR12/paper/view/4514
dc.rights© 1995–2013 Association for the Advancement of Artificial Intelligence.en
dc.subjectAxiomatic frameworken
dc.subjectInfluence diagram computationen
dc.subjectAlgorithmen
dc.subjectSequential variableen
dc.subjectPartially ordered utilitiesen
dc.titleAn axiomatic framework for influence diagram computation with partially ordered utilitiesen
dc.typeConference itemen
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