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dc.contributor.authorGiang, Phan H.
dc.contributor.authorShenoy, Prakash P.
dc.date.accessioned2004-12-18T22:28:01Z
dc.date.available2004-12-18T22:28:01Z
dc.date.issued2000-08
dc.identifier.citationGiang, P. H. and P. P. Shenoy, "A Qualitative Linear Utility Theory for Spohn’s Theory of Epistemic Beliefs," in C. Boutilier and M. Goldszmidt (eds.), Vol. 16, pp. 220--229, Morgan Kaufmann, San Francisco, CA.
dc.identifier.isbn1-55860-709-9
dc.identifier.urihttp://hdl.handle.net/1808/167
dc.description.abstractIn this paper, we formulate a qualitative “linear” utility theory for lotteries in which uncertainty is expressed qualitatively using a Spohnian disbelief function. We argue that a rational decision maker facing an uncertain decision problem in which the uncertainty is expressed qualitatively should behave so as to maximize “qualitative expected utility.” Our axiomatization of the qualitative utility is similar to the axiomatization developed by von Neumann and Morgenstern for probabilistic lotteries. We compare our results with other recent results in qualitative decision making.
dc.format.extent251304 bytes
dc.format.mimetypeapplication/pdf
dc.language.isoen_US
dc.publisherMorgan Kaufmann Publishers
dc.subjectDecision theory
dc.subjectUtility theory
dc.subjectSpohn's theory of epistemic beliefs
dc.subjectOrder of magnitude probabilities
dc.titleA Qualitative Linear Utility Theory for Spohn’s Theory of Epistemic Beliefs
dc.typeBook chapter
kusw.oastatusna
dc.identifier.orcidhttps://orcid.org/0000-0002-8425-896X
kusw.oapolicyThis item does not meet KU Open Access policy criteria.
dc.rights.accessrightsopenAccess


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