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dc.contributor.authorLang, Jérôme
dc.date.accessioned2017-04-04T14:41:59Z
dc.date.available2017-04-04T14:41:59Z
dc.date.issued2016
dc.identifier.urihttps://basepub.dauphine.fr/handle/123456789/16486
dc.language.isoenen
dc.subjectsocial choiceen
dc.subjectvoting rulesen
dc.subject.ddc003en
dc.titleComputational Social Choiceen
dc.typeCommunication / Conférence
dc.description.abstractenComputational social choice is an interdisciplinary field of study at the interface of social choice theory and computer science, promoting an exchange of ideas in both directions. On the one hand, it is concerned with the application of techniques developed in computer science, such as complexity analysis, algorithm design, or communication protocols, to the study of social choice mechanisms, such as voting procedures or fair division algorithms. On the other hand, computational social choice is concerned with importing concepts from social choice theory into computing. For instance, social welfare orderings originally developed to analyse the quality of resource allocations in human society are equally well applicable to problems in multiagent systems or network design. Computational social choice brings together ideas from computer science, artificial intelligence, logic, political science and economic theory, amongst others. Below we briefly introduce some representative problems that have been studied in the field.en
dc.subject.ddclabelRecherche opérationnelleen
dc.relation.conftitle8th International Conference on Agents and Artificial Intelligence (ICAART 2016)en
dc.relation.confdate2016-02
dc.relation.confcityRomeen
dc.relation.confcountryItalyen
dc.relation.forthcomingnonen
dc.description.ssrncandidatenonen
dc.description.halcandidateouien
dc.description.readershiprechercheen
dc.description.audienceInternationalen
dc.relation.Isversionofjnlpeerreviewednonen
dc.relation.Isversionofjnlpeerreviewednonen
dc.date.updated2017-04-04T14:30:05Z
hal.person.labIds989
hal.identifierhal-01501882*


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