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Second Order Effects in Interval Valued Decision Graph Models
Mid Sweden University, Faculty of Science, Technology and Media, Department of Information Technology and Media.ORCID iD: 0000-0002-0665-1889
Dept. of Informatics, ESI, Örebro University, Örebro.
Mid Sweden University, Faculty of Science, Technology and Media, Department of Information Technology and Media. (STC)ORCID iD: 0000-0003-0310-0018
Responsible organisation
2005 (English)In: Proceedings of the Eighteenth International Florida Artificial Intelligence Research Society Conference, FLAIRS 2005 - Recent Advances in Artifical Intelligence, AAAI Press, 2005, 728-733 p.Conference paper, (Other academic)
Abstract [en]

Second-order calculations may significantly increase a decision maker's understanding of a decision situation when handling aggregations of imprecise representations, as is the case in decision trees or influence diagrams, while the use of only first-order results gives an incomplete picture. The results apply also to approaches which do not explicitly deal with second-order distributions, instead using only first-order concepts such as upper and lower bounds.

Place, publisher, year, edition, pages
AAAI Press, 2005. 728-733 p.
Keyword [en]
Decision graph models, second-order probabilities
National Category
Computer Science
Identifiers
URN: urn:nbn:se:miun:diva-3339Scopus ID: 2-s2.0-32844466774Local ID: 3469ISBN: 1577352343 (print)OAI: oai:DiVA.org:miun-3339DiVA: diva2:28371
Conference
Recent Advances in Artifical Intelligence - Eighteenth International Florida Artificial Intelligence Research Society Conference, FLAIRS 2005; Clearwater Beach, FL; United States; 15 May 2005 through 17 May 2005; Code 66624
Available from: 2008-09-30 Created: 2008-09-30 Last updated: 2016-09-27Bibliographically approved

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