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dc.contributor.authorSirin, Botan
dc.contributor.authorde Haan, Ronald
dc.contributor.authorSlavkovik, Marija
dc.contributor.authorTerzopoulou, Zoi
dc.date.accessioned2023-03-08T12:36:26Z
dc.date.available2023-03-08T12:36:26Z
dc.date.created2023-02-03T13:09:29Z
dc.date.issued2023
dc.identifier.issn1387-2532
dc.identifier.urihttps://hdl.handle.net/11250/3057072
dc.description.abstractEgalitarian considerations play a central role in many areas of social choice theory. Applications of egalitarian principles range from ensuring everyone gets an equal share of a cake when deciding how to divide it, to guaranteeing balance with respect to gender or ethnicity in committee elections. Yet, the egalitarian approach has received little attention in judgment aggregation—a powerful framework for aggregating logically interconnected issues. We make the first steps towards filling that gap. We introduce axioms capturing two classical interpretations of egalitarianism in judgment aggregation and situate these within the context of existing axioms in the pertinent framework of belief merging. We then explore the relationship between these axioms and several notions of strategyproofness from social choice theory at large. Finally, a novel egalitarian judgment aggregation rule stems from our analysis; we present complexity results concerning both outcome determination and strategic manipulation for that rule.en_US
dc.language.isoengen_US
dc.publisherSpringeren_US
dc.rightsNavngivelse 4.0 Internasjonal*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/deed.no*
dc.titleEgalitarian judgment aggregationen_US
dc.typeJournal articleen_US
dc.typePeer revieweden_US
dc.description.versionpublishedVersionen_US
dc.rights.holderCopyright 2023 The Author(s)en_US
dc.source.articlenumber16en_US
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.qualitycode1
dc.identifier.doi10.1007/s10458-023-09598-6
dc.identifier.cristin2122785
dc.source.journalAutonomous Agents and Multi-Agent Systemsen_US
dc.identifier.citationAutonomous Agents and Multi-Agent Systems. 2023, 37, 16.en_US
dc.source.volume37en_US


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