2019
DOI: 10.1145/3296675
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Aggregation of Votes with Multiple Positions on Each Issue

Abstract: We consider the problem of aggregating votes cast by a society on a fixed set of issues, where each member of the society may vote for one of several positions on each issue, but the combination of votes on the various issues is restricted to a set of feasible voting patterns. We follow the aggregation framework used by Dokow and Holzman [Aggregation of non-binary evaluations, Advances in Applied Mathematics , 45:4, 487--504, 2010], in which both preference aggregation and judgment aggr… Show more

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Cited by 4 publications
(43 citation statements)
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“…After this, we turn our attention to uniform possibility domains, which were introduced by Kirousis, Kolaitis, and Livieratos (2019) and which form a proper subclass of the class of possibility domains. Intuitively, uniform possibility domains are sets of feasible evaluations that admit an aggregator that is non-dictatorial even when restricted to any two positions for each issue.…”
Section: Summary Of Resultsmentioning
confidence: 99%
See 4 more Smart Citations
“…After this, we turn our attention to uniform possibility domains, which were introduced by Kirousis, Kolaitis, and Livieratos (2019) and which form a proper subclass of the class of possibility domains. Intuitively, uniform possibility domains are sets of feasible evaluations that admit an aggregator that is non-dictatorial even when restricted to any two positions for each issue.…”
Section: Summary Of Resultsmentioning
confidence: 99%
“…In that way, we can avoid various trivial cases of non-dictatorial aggregation, where different "dictators" are chosen for different sets of positions of an issue. Kirousis, Kolaitis, and Livieratos (2019) have established a tight connection between uniform possibility domains and a variant of constraint satisfaction problems by showing that multi-sorted conservative constraint satisfaction problems are tractable on uniform possibility domains, whereas such constraint satisfaction problems are NP-complete on all other domains. Here, using the result by Carbonnel (2016a), we give a polynomial-time algorithm for the following decision problem: given a set X of feasible evaluations (be it in the Boolean or the non-Boolean framework), determine whether or not X is a uniform possibility domain; moreover, if X is a uniform possibility domain, then the algorithm produces a suitable uniform non-dictatorial aggregator for X.…”
Section: Summary Of Resultsmentioning
confidence: 99%
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