Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.11851/2671
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dc.contributor.authorÇaşkurlu, Buğra-
dc.contributor.authorKızılkaya, Fatih Erdem-
dc.date.accessioned2019-12-25T14:02:00Z
dc.date.available2019-12-25T14:02:00Z
dc.date.issued2019
dc.identifier.citationCaskurlu, B., and Kizilkaya, F. E. (2019, May). On Hedonic Games with Common Ranking Property. In International Conference on Algorithms and Complexity (pp. 137-148). Springer, Cham.en_US
dc.identifier.isbn 9783030174019
dc.identifier.issn3029743
dc.identifier.urihttps://link.springer.com/chapter/10.1007%2F978-3-030-17402-6_12-
dc.identifier.urihttps://hdl.handle.net/20.500.11851/2671-
dc.description11th International Conference on Algorithms and Complexity ( 2019: Rome; Italy )
dc.description.abstractHedonic games are a prominent model of coalition formation, in which each agent’s utility only depends on the coalition she resides. The subclass of hedonic games that models the formation of general partnerships [21], where output is shared equally among affiliates, is called hedonic games with common ranking property (HGCRP). Aside from their economic motivation, HGCRP came into prominence since they are guaranteed to have core stable solutions that can be found efficiently [2]. Nonetheless, a core stable solution is not necessarily a socially desirable (Pareto optimal) outcome. We improve upon existing results by proving that every instance of HGCRP has a solution that is both Pareto optimal and core stable. We establish that finding such a solution is, however, - by proving the stronger statement that finding any Pareto optimal solution is. We show that the gap between the total utility of a core stable solution and that of the socially optimal solution (OPT) is bounded by |N|, where N is the set of agents, and that this bound is tight. Our investigations reveal that finding a solution, whose total utility is within a constant factor of that of OPT, is intractable. © 2019, Springer Nature Switzerland AG.en_US
dc.language.isoenen_US
dc.publisherSpringer Verlagen_US
dc.relation.ispartofLecture notes in computer science (including subseries lecture notes in artificial intelligence and lecture notes in bioinformatics)en_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectAlgorithmic game theoryen_US
dc.subjectcomputational complexityen_US
dc.subjecthedonic gamesen_US
dc.subjectpareto optimalityen_US
dc.subjectcore stabilityen_US
dc.titleOn Hedonic Games with Common Ranking Propertyen_US
dc.typeConference Objecten_US
dc.departmentFaculties, Faculty of Engineering, Department of Computer Engineeringen_US
dc.departmentFakülteler, Mühendislik Fakültesi, Bilgisayar Mühendisliği Bölümütr_TR
dc.identifier.volume11485
dc.identifier.startpage137
dc.identifier.endpage148
dc.relation.tubitak[118E126]en_US
dc.authorid0000-0002-4647-205X-
dc.identifier.scopus2-s2.0-85066904310en_US
dc.institutionauthorÇaşkurlu, Buğra-
dc.identifier.doi10.1007/978-3-030-17402-6_12-
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.identifier.scopusqualityQ2-
item.languageiso639-1en-
item.fulltextNo Fulltext-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.grantfulltextnone-
item.openairetypeConference Object-
item.cerifentitytypePublications-
crisitem.author.dept02.1. Department of Artificial Intelligence Engineering-
Appears in Collections:Bilgisayar Mühendisliği Bölümü / Department of Computer Engineering
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
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