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  • 标题:Elections with Few Voters: Candidate Control Can Be Easy
  • 本地全文:下载
  • 作者:Jiehua Chen ; Piotr Faliszewski ; Rolf Niedermeier
  • 期刊名称:Journal of Artificial Intelligence Research
  • 印刷版ISSN:1076-9757
  • 出版年度:2017
  • 卷号:60
  • 页码:937-1002
  • 出版社:American Association of Artificial
  • 摘要:We study the computational complexity of candidate control in elections with few voters, that is, we consider the parameterized complexity of candidate control in elections with respect to the number of voters as a parameter. We consider both the standard scenario of adding and deleting candidates, where one asks whether a given candidate can become a winner (or, in the destructive case, can be precluded from winning) by adding or deleting few candidates, as well as a combinatorial scenario where adding/deleting a candidate automatically means adding or deleting a whole group of candidates. Considering several fundamental voting rules, our results show that the parameterized complexity of candidate control, with the number of voters as the parameter, is much more varied than in the setting with many voters.
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