Computing Subjective Expected Utility using Probabilistic Description Logics

Acar, Erman

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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 > Practical Computer Science II: Artificial Intelligence (Stuckenschmidt 2009-)
Subject: 004 Computer science, internet
330 Economics
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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