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Robustness Radius for Chamberlin-Courant on Restricted Domains

机译:Chamberlin-Courant在受限域上的稳健半径

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The notion of robustness in the context of committee elections was introduced by Bredereck et al. [SAGT 2018] to capture the impact of small changes in the input preference orders, depending on the voting rules used. They show that for certain voting rules, such as Chamberlin-Courant, checking if an election instance is robust, even to the extent of a small constant, is computationally hard. More specifically, it is NP-hard to determine if one swap in any of the votes can change the set of winning committees with respect to the Chamberlin-Courant voting rule. Further, the problem is also W-hard when parameterized by the size of the committee, k. We complement this result by suggesting an algorithm that is in XP with respect to k. We also show that on nearly-structured profiles, the problem of robustness remains NP-hard. We also address the case of approval ballots, where we show a hardness result analogous to the one established in about rankings and again demonstrate an XP algorithm.
机译:Bredereck等人在委员会选举中引入了健壮性的概念。 [SAGT 2018]根据所使用的投票规则,捕获输入偏好顺序中微小变化的影响。他们表明,对于某些投票规则,例如Chamberlin-Courant,检查选举实例是否稳健,即使在很小的常量范围内,也很难进行计算。更具体地说,要确定张伯林·库兰特的投票规则,任何一次投票中的一次互换是否可以改变获胜委员会的集合,就很难为人所知。此外,当通过委员会的规模k进行参数化时,该问题也很难解决。我们通过建议一种相对于k的XP算法来补充此结果。我们还表明,在近乎结构化的轮廓上,鲁棒性问题仍然是NP-hard。我们还讨论了批准投票的情况,我们展示的硬度结果类似于关于排名的确定结果,并再次展示了XP算法。

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