Computing Subjective Expected Utility using Probabilistic Description Logics

Erman Acar

doi:10.3233/978-1-61499-421-3-21

Computing Subjective Expected Utility using Probabilistic Description Logics

Erman Acar

Artificial intelligence

Research output: Chapter in Book / Report / Conference proceeding › Conference contribution › Academic › peer-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 language	English
Title of host publication	STAIRS 2014
Subtitle of host publication	Proceedings of the 7th European Starting AI Researcher Symposium
Editors	Joao Leite, Ulle Endriss
Publisher	IOS Press
Pages	21-30
Number of pages	10
ISBN (Electronic)	9781614994206
DOIs	https://doi.org/10.3233/978-1-61499-421-3-21
Publication status	Published - 2014
Event	7th European Starting AI Researcher Symposium, STAIRS 2014 - Prague, Czech Republic Duration: 18 Aug 2014 → 19 Aug 2014

Publication series

Name	Frontiers in Artificial Intelligence and Applications
Volume	264
ISSN (Print)	0922-6389

Conference

Conference	7th European Starting AI Researcher Symposium, STAIRS 2014
Country/Territory	Czech Republic
City	Prague
Period	18/08/14 → 19/08/14

Keywords

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

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.3233/978-1-61499-421-3-21

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Cite this

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title = "Computing Subjective Expected Utility using Probabilistic Description Logics",

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.",

keywords = "Decision Theory, Description Logics, Multicriteria Decision Making, Prob-DL, Probabilistic Description Logic, Probabilistic Ontology, Subjective Expected Utility, Utility Theory",

author = "Erman Acar",

year = "2014",

doi = "10.3233/978-1-61499-421-3-21",

language = "English",

series = "Frontiers in Artificial Intelligence and Applications",

publisher = "IOS Press",

pages = "21--30",

editor = "Joao Leite and Ulle Endriss",

booktitle = "STAIRS 2014",

address = "United States",

note = "7th European Starting AI Researcher Symposium, STAIRS 2014 ; Conference date: 18-08-2014 Through 19-08-2014",

}

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. Frontiers in Artificial Intelligence and Applications, vol. 264, IOS Press, pp. 21-30, 7th European Starting AI Researcher Symposium, STAIRS 2014, Prague, Czech Republic, 18/08/14. https://doi.org/10.3233/978-1-61499-421-3-21

Computing Subjective Expected Utility using Probabilistic Description Logics. / Acar, Erman.

STAIRS 2014: Proceedings of the 7th European Starting AI Researcher Symposium. ed. / Joao Leite; Ulle Endriss. IOS Press, 2014. p. 21-30 (Frontiers in Artificial Intelligence and Applications; Vol. 264).

Research output: Chapter in Book / Report / Conference proceeding › Conference contribution › Academic › peer-review

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KW - Description Logics

KW - Multicriteria Decision Making

KW - Prob-DL

KW - Probabilistic Description Logic

KW - Probabilistic Ontology

KW - Subjective Expected Utility

KW - Utility Theory

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ER -

Computing Subjective Expected Utility using Probabilistic Description Logics

Abstract

Publication series

Conference

Keywords

UN SDGs

Access to Document

Handle.net

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