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arXiv 2104.09130cs.GTcs.AI
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贿赂作为候选人成功的衡量标准:基于批准的多赢家规则的复杂性结果

Bribery as a Measure of Candidate Success: Complexity Results for Approval-Based Multiwinner Rules

AGH University(AGH大学);TU Berlin(柏林工业大学);Weizmann Institute of Science(魏茨曼科学研究所)

Piotr Faliszewski, Piotr Skowron, Nimrod Talmon

摘要:

我们研究了多赢家选举中的贿赂问题,对于选民投赞成票的情况(即,他们批准的候选人集),贿赂行为仅限于:将批准添加到投票中,从投票中删除批准,或将投票中的批准从一个候选人移动到另一个候选人。我们考虑了许多基于批准的多赢家规则(AV、SAV、GAV、RAV、基于批准的Chamberlin-Courant和PAV)。我们发现景观的复杂性结果相当丰富,从多项式时间算法,通过NP-硬度与常数因子近似,彻底的不可逼近。此外,总的来说,当我们限制贿赂行为,增加我们希望在获胜委员会中的候选人的批准数量时,我们的问题往往会更容易解决(即,仅为该首选候选人添加批准,或仅将批准移动到他或她)。我们还研究了我们的问题的参数化的复杂性,重点是参数化的选民或候选人的数量。

英文摘要:

We study the problem of bribery in multiwinner elections, for the case where the voters cast approval ballots (i.e., sets of candidates they approve) and the bribery actions are limited to: adding an approval to a vote, deleting an approval from a vote, or moving an approval within a vote from one candidate to the other. We consider a number of approval-based multiwinner rules (AV, SAV, GAV, RAV, approval-based Chamberlin--Courant, and PAV). We find the landscape of complexity results quite rich, going from polynomial-time algorithms through NP-hardness with constant-factor approximations, to outright inapproximability. Moreover, in general, our problems tend to be easier when we limit out bribery actions on increasing the number of approvals of the candidate that we want to be in a winning committee (i.e., adding approvals only for this preferred candidate, or moving approvals only to him or her). We also study parameterized complexity of our problems, with a focus on parameterizations by the numbers of voters or candidates.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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