Voting rules from random relations
dc.contributor.author | Wilson, Nic | |
dc.contributor.funder | Science Foundation Ireland | en |
dc.contributor.funder | European Regional Development Fund | en |
dc.date.accessioned | 2020-12-02T13:26:13Z | |
dc.date.available | 2020-12-02T13:26:13Z | |
dc.date.issued | 2020-08 | |
dc.date.updated | 2020-11-04T12:17:26Z | |
dc.description.abstract | We 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 define 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.sponsorship | Science Foundation Ireland (Grant No. 12/RC/2289 and Grant No. 12/RC/2289-P2, co-funded under the European Regional Development Fund) | en |
dc.description.status | Peer reviewed | en |
dc.description.version | Published Version | en |
dc.format.mimetype | application/pdf | en |
dc.identifier.citation | Wilson, N. (2020) 'Voting Rules from Random Relations', ECAI 2020 - 24th European Conference on Artificial Intelligence, Santiago de Compostela, Spain, 29 Aug. - 8 Sept., Frontiers in Artificial Intelligence and Applications, vol. 325, pp. 235-242. doi: 10.3233/FAIA200098 | en |
dc.identifier.doi | 10.3233/FAIA200098 | en |
dc.identifier.endpage | 242 | en |
dc.identifier.isbn | 978-1-64368-100-9 | |
dc.identifier.isbn | 978-1-64368-101-6 | |
dc.identifier.journaltitle | Frontiers in Artificial Intelligence and Applications, ECAI 2020 | en |
dc.identifier.startpage | 235 | en |
dc.identifier.uri | https://hdl.handle.net/10468/10805 | |
dc.identifier.volume | 325 | en |
dc.language.iso | en | en |
dc.publisher | IOS Press | en |
dc.relation.project | info:eu-repo/grantAgreement/SFI/SFI Research Centres/12/RC/2289/IE/INSIGHT - Irelands Big Data and Analytics Research Centre/ | en |
dc.relation.uri | http://ebooks.iospress.nl/volumearticle/54893 | |
dc.rights | © 2020 The authors and IOS Press. This article is published online with Open Access by IOS Press and distributed under the terms of the Creative Commons Attribution Non-Commercial License 4.0 (CC BY-NC 4.0). | en |
dc.rights.uri | https://creativecommons.org/licenses/by-nc/4.0/deed.en_US | en |
dc.subject | Random generation | en |
dc.subject | Voting rules | en |
dc.subject | Artificial intelligence (AI) | en |
dc.title | Voting rules from random relations | en |
dc.type | Conference item | en |
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