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How to Put through Your Agenda in Collective Binary Decisions

机译:如何在集体二进制决策中介绍您的议程

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We consider the following decision scenario: a society of voters has to find an agreement on a set of proposals, and every single proposal is to be accepted or rejected. Each voter supports a certain subset of the proposals-the favorite ballot of this voter-and opposes the remaining ones. He accepts a ballot if he supports more than half of the proposals in this ballot. The task is to decide whether there exists a ballot approving a set of selected proposals (agenda) such that all voters (or a strict majority of them) accept this ballot. On the negative side both problems are NP-complete, and on the positive side they are fixed-parameter tractable with respect to the total number of proposals or with respect to the total number of voters. We look into further natural parameters and study their influence on the computational complexity of both problems, thereby providing both tractability and intractability results. Furthermore, we provide tight combinatorial bounds on the worst-case size of an accepted ballot in terms of the number of voters.
机译:我们考虑以下决策情景:选民协会必须在一套提案上找到协议,并接受或拒绝每一项提案。每个选民支持提案的某个子集 - 这个选民的最喜欢的选票 - 并反对剩下的选票。如果他支持这项选票中的一半以上的提案,他就会接受选票。该任务是决定是否存在批准一套选定的建议(议程),以使所有选民(或严格的大多数人)接受这项选票。在负面方面,这两个问题都是NP-完成,并且在正面上,它们是针对建议总数或参与选民总数的固定参数。我们研究了进一步的自然参数,研究它们对两种问题的计算复杂性的影响,从而提供了途径和难以放电的结果。此外,我们在选民人数方面提供了在可接受的投票的最坏情况下的组合界限。

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