Generating voting rules from random relations

dc.contributor.authorWilson, Nic
dc.contributor.funderScience Foundation Irelanden
dc.contributor.funderEuropean Regional Development Funden
dc.date.accessioned2020-12-02T11:36:26Z
dc.date.available2020-12-02T11:36:26Z
dc.date.issued2019-05
dc.date.updated2020-11-04T13:03:12Z
dc.description.abstractWe consider a way of generating voting rules based on a random relation, the winners being alternatives that have the highest probability of being supported. We consider different notions of support, such as whether an alternative dominates the other alternatives, or whether an alternative is undominated, and we consider structural assumptions on the form of the random relation, such as being acyclic, asymmetric, connex or transitive. We give sufficient conditions on the supporting function for the associated voting rule to satisfy various properties such as Pareto and monotonicity. The random generation scheme involves a parameter p between zero and one. Further voting rules are obtained by tending p to zero, and by tending p to one, and these limiting rules satisfy a homogeneity property, and, in certain cases, Condorcet consistency. We define a language of supporting functions based on eight natural properties, and categorise the different rules that can be generated for the limiting p cases.en
dc.description.sponsorshipScience Foundation Ireland (SFI under Grant Numbers SFI/12/RC/2289 and 12/RC/2289-P2 ,co-funded under the European Regional Development Fund)en
dc.description.statusPeer revieweden
dc.description.versionAccepted Versionen
dc.format.mimetypeapplication/pdfen
dc.identifier.citationWilson, N. (2019) 'Generating Voting Rules from Random Relations', Proceedings of the 18th International Conference on Autonomous Agents and MultiAgent Systems, AAMAS '19, Montreal, Canada, 13-17 May. pp. 2267-2269. isbn: 978-1-4503-6309-9en
dc.identifier.endpage2269en
dc.identifier.isbn978-1-4503-6309-9
dc.identifier.issn2523-5699
dc.identifier.startpage2267en
dc.identifier.urihttps://hdl.handle.net/10468/10803
dc.language.isoenen
dc.publisherInternational Foundation for Autonomous Agents and MultiAgent Systems (IFAAMAS).en
dc.relation.urihttp://www.ifaamas.org/Proceedings/aamas2019/
dc.rights© 2019 by International Foundation for Autonomous Agents and MultiAgent Systems (www.ifaamas.org). All rights reserved.en
dc.subjectVoting rulesen
dc.subjectRandom relationsen
dc.subjectLimiting probabilitiesen
dc.titleGenerating voting rules from random relationsen
dc.typeConference itemen
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