Preference orders on families of sets - When can impossibility results be avoided?

Jan Maly, Miroslaw Truszczynski, Stefan Woltran

Publikation: Beitrag in Buch/KonferenzbandBeitrag in Konferenzband

Abstract

Lifting a preference order on elements of some universe to a preference order on subsets of this universe is often guided by postulated properties the lifted order should have. Well-known impossibility results pose severe limits on when such liftings exist if all non-empty subsets of the universe are to be ordered. The extent to which these negative results carry over to other families of sets is not known. In this paper, we consider families of sets that induce connected subgraphs in graphs. For such families, common in applications, we study whether lifted orders satisfying the well-studied axioms of dominance and (strict) independence exist for every or, in another setting, only for some underlying order on elements (strong and weak orderability). We characterize families that are strongly and weakly orderable under dominance and strict independence, and obtain a tight bound on the class of families that are strongly orderable under dominance and independence.

OriginalspracheEnglisch
Titel des SammelwerksProceedings of the 27th International Joint Conference on Artificial Intelligence (IJCAI 2018)
Untertitel des SammelwerksStockholm, 13-19 July 2018
Herausgeber*innenJérôme Lang
VerlagIJCAI
Seiten433-439
Seitenumfang7
ISBN (elektronisch)978-0-9992411-2-7
DOIs
PublikationsstatusVeröffentlicht - 2018
Extern publiziertJa
Veranstaltung27th International Joint Conference on Artificial Intelligence, IJCAI 2018 - Stockholm, Schweden
Dauer: 13 Juli 201819 Juli 2018

Publikationsreihe

ReiheIJCAI International Joint Conference on Artificial Intelligence
ISSN1045-0823

Konferenz

Konferenz27th International Joint Conference on Artificial Intelligence, IJCAI 2018
Land/GebietSchweden
OrtStockholm
Zeitraum13/07/1819/07/18

Bibliographische Notiz

Publisher Copyright:
© 2018 International Joint Conferences on Artificial Intelligence. All right reserved.

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