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Non-uniform belief in expected utilities in interval decision analysis
KTH, School of Information and Communication Technology (ICT), Computer and Systems Sciences, DSV.
2005 (English)In: Proc. Int. Florida Artif. Intell. Res. Soc. Conf. Recent Adv. Artif. Intell., 2005, 740-745 p.Conference paper, Published paper (Refereed)
Abstract [en]

This paper demonstrates that second-order calculations add information about expected utilities when modeling imprecise information in decision models as intervals and employing the principle of maximizing the expected utility. Furthermore, due to the resulting warp in the distribution of belief over the intervals of expected utilities, the conservative Γ-maximin decision rule seems to be unnecessarily conservative and pessimistic as the belief in neighborhoods of points near interval boundaries is significantly lower than in neigh-borhoods near the centre. Due to this, a generalized expected utility is proposed.

Place, publisher, year, edition, pages
2005. 740-745 p.
Series
Proceedings of the Eighteenth International Florida Artificial Intelligence Research Society Conference, FLAIRS 2005 - Recent Advances in Artifical Intelligence
Keyword [en]
Artificial intelligence, Boundary conditions, Information analysis, Mathematical models, Interval boundaries, Interval decision analysis, Principle of maximizing, Decision theory
National Category
Computer Systems
Identifiers
URN: urn:nbn:se:kth:diva-156518Scopus ID: 2-s2.0-32844468750ISBN: 1577352343 (print)ISBN: 9781577352341 (print)OAI: oai:DiVA.org:kth-156518DiVA: diva2:767321
Conference
Recent Advances in Artifical Intelligence - Eighteenth International Florida Artificial Intelligence Research Society Conference, FLAIRS 2005, 15-17 May 2005, Clearwater Beach, FL, USA
Note

QC 20141201

Available from: 2014-12-01 Created: 2014-11-28 Last updated: 2014-12-01Bibliographically approved

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Citation style
  • apa
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More styles
Language
  • de-DE
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  • nn-NO
  • nn-NB
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  • Other locale
More languages
Output format
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  • asciidoc
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