An axiomatic framework for influence diagram computation with partially ordered utilities

Show simple item record Marinescu, Radu Wilson, Nic 2014-02-17T10:21:32Z 2014-02-17T10:21:32Z 2012 2012-06
dc.identifier.citation WILSON, 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: <>. en
dc.description.abstract This 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.uri en
dc.format.mimetype application/pdf en
dc.language.iso en en
dc.publisher AAAI Publications en
dc.relation.ispartof Proceedings of 13th International Conference on Principles of Knowledge Representation and Reasoning (KR 2012), University of Rome, Rome, 10-12 June 2012
dc.rights © 1995–2013 Association for the Advancement of Artificial Intelligence. en
dc.subject Axiomatic framework en
dc.subject Influence diagram computation en
dc.subject Algorithm en
dc.subject Sequential variable en
dc.subject Partially ordered utilities en
dc.title An axiomatic framework for influence diagram computation with partially ordered utilities en
dc.type Conference item en
dc.internal.authorurl en
dc.internal.authorcontactother Nic Wilson, Computer Science, University College Cork, Cork, Ireland. +353-21-490-3000 Email: en
dc.internal.availability Full text available en 2012-12-20T18:12:19Z
dc.description.version Accepted Version en
dc.internal.rssid 185131884
dc.description.status Peer reviewed en
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