Publikation: Bidrag til bog/antologi/rapport/proceeding › Konferencebidrag i proceedings › Forskning › peer review
Forlagets udgivne version
Forlagets udgivne version
Voting is a commonly applied method for the aggregation of the preferences of multiple agents into a joint decision. If preferences are binary, i.e., "yes" and "no", every voting system can be described by a (monotone) Boolean function ?: {0, 1} n → {0,1}. However, its naive encoding needs 2n bits. The subclass of threshold functions, which is sufficient for homogeneous agents, allows a more succinct representation using n weights and one threshold. For heterogeneous agents, one can represent ? as an intersection of k threshold functions. Taylor and Zwicker have constructed a sequence of examples requiring k ≥ 2n/2-1 and provided a construction guaranteeing k ≤ ([nn/2]) ∈ 2 n-o(n). The magnitude of the worst-case situation was thought to be determined by Elkind et al. in 2008, but the analysis unfortunately turned out to be wrong. Here we uncover a relation to coding theory that allows the determination of the minimum number k for a subclass of voting systems. As an application, we give a construction for k > 2 n-o(n), i.e., there is no gain from a representation complexity point of view.
Originalsprog | Dansk |
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Titel | Frontiers in Artificial Intelligence and Applications |
Antal sider | 6 |
Vol/bind | 285 |
Forlag | IOS Press |
Udgivelsesår | 2016 |
Sider | 880-885 |
ISBN (trykt) | 978-1-61499-671-2 |
ISBN (Elektronisk) | 978-1-61499-672-9 |
DOI | |
Status | Udgivet - 2016 |
Serietitel | Frontiers in Artificial Intelligence and Applications |
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ISSN | 0922-6389 |
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