Computing Subjective Expected Utility using Probabilistic Description Logics

Erman Acar*

*Corresponding author for this work

Research output: Chapter in Book / Report / Conference proceedingConference contributionAcademicpeer-review

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.

Original languageEnglish
Title of host publicationSTAIRS 2014 - Proceedings of the 7th European Starting AI Researcher Symposium
EditorsJoao Leite, Ulle Endriss
PublisherIOS Press
Pages21-30
Number of pages10
ISBN (Electronic)9781614994206
DOIs
Publication statusPublished - 1 Jan 2014
Externally publishedYes
Event7th European Starting AI Researcher Symposium, STAIRS 2014 - Prague, Czech Republic
Duration: 18 Aug 201419 Aug 2014

Publication series

NameFrontiers in Artificial Intelligence and Applications
Volume264
ISSN (Print)0922-6389

Conference

Conference7th European Starting AI Researcher Symposium, STAIRS 2014
CountryCzech Republic
CityPrague
Period18/08/1419/08/14

Keywords

  • Decision Theory
  • Description Logics
  • Multicriteria Decision Making
  • Prob-DL
  • Probabilistic Description Logic
  • Probabilistic Ontology
  • Subjective Expected Utility
  • Utility Theory

Cite this

Acar, E. (2014). Computing Subjective Expected Utility using Probabilistic Description Logics. In J. Leite, & U. Endriss (Eds.), STAIRS 2014 - Proceedings of the 7th European Starting AI Researcher Symposium (pp. 21-30). (Frontiers in Artificial Intelligence and Applications; Vol. 264). IOS Press. https://doi.org/10.3233/978-1-61499-421-3-21