Computing Subjective Expected Utility using Probabilistic Description Logics


Acar, Erman


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DOI: https://doi.org/10.3233/978-1-61499-421-3-21
URL: https://ub-madoc.bib.uni-mannheim.de/36878
Additional URL: http://ebooks.iospress.nl/publication/37191
URN: urn:nbn:de:bsz:180-madoc-368785
Document Type: Conference or workshop publication
Year of publication: 2014
Book title: STAIRS 2014 : Proceedings of the 7th European Starting AI Researcher Symposium
The title of a journal, publication series: Frontiers in Artificial Intelligence and Applications
Volume: 264
Page range: 21-30
Location of the conference venue: Prague, Czech Republic
Date of the conference: 18-19 August 2014
Publisher: Endriss, Ulle
Place of publication: Clifton, Va. [u.a.]
Publishing house: IOS Press
ISBN: 978-1-61499-420-6 , 978-1-61499-421-3
Publication language: English
Institution: School of Business Informatics and Mathematics > Praktische Informatik II (Stuckenschmidt 2009-)
Subject: 004 Computer science, internet
330 Economics
Individual keywords (German):
Keywords (English): Description Logics , Probabilistic Description Logic , Prob- DL , Multicriteria Decision Making , Decision Theory , Utility Theory , Subjective Expected Utility , Probabilistic Ontology
Abstract: We introduce a framework which is based on probabilistic Description logics (Prob-DL), to represent and solve multi-criteria discrete alternative problems by calculating expected utility. To our knowledge, this is the first ever approach for calculating expected utility using a description logics based formalism.

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Acar, Erman Computing Subjective Expected Utility using Probabilistic Description Logics. Open Access Endriss, Ulle Frontiers in Artificial Intelligence and Applications 264 21-30 In: STAIRS 2014 : Proceedings of the 7th European Starting AI Researcher Symposium (2014) Clifton, Va. [u.a.] (Prague, Czech Republic) [Conference or workshop publication]
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