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
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.