In social choice there often arises a conflict between the majority principle (the search for a candidate that is as good as possible for as many voters as possible), and the protection of minority rights (choosing a candidate that is not overly bad for particular individuals or groups). In a context where the latter is our main concern, veto-based rules -- giving individuals or groups the ability to strike off certain candidates from the list -- are a natural and effective way of ensuring that no minority is left with an outcome they find untenable. However, such rules often fail to be anonymous, or impose specific restrictions on the number of voters and candidates. These issues can be addressed by considering the proportional veto core -- the solution to a cooperative game where every coalition is given the power to veto a number of candidates proportional to its size. However, the na\"ive algorithm for the veto core is exponential, and the only known rule for selecting from the core, with an arbitrary number of voters, fails anonymity. In this paper we present a polynomial time algorithm for computing the core, study its expected size, and present an anonymous rule for selecting a candidate from it. We study the properties of core-consistent voting rules. Finally, we show that a pessimist can manipulate the core in polynomial time, while an optimist cannot manipulate it at all.
翻译:在社会选择中,经常存在多数原则(寻找对尽可能多选民都最优的候选人)和少数权利保护之间的冲突(选择一个对特定个体或群体不过分不利的候选人)。在我们主要关注后者的情况下,否决规则——赋予个人或团体从候选人名单中删除某些候选人的能力——是确保没有少数派被留下无法接受的结果的一种自然有效的方式。然而,这些规则经常无法匿名或对投票者和候选人数施加特定限制。这些问题可以通过考虑比例否决核心来解决——这是一个合作游戏的解,每个联盟都被赋予否决按其大小成比例的数量的候选人的权力。然而,否决核心的朴素算法是指数级别的,而对于任意数量的投票者,唯一已知的从核心中选择的规则不匿名。在本文中,我们提出了一个计算核心的多项式时间算法,研究了它的期望大小,并提出了从中选择候选人的匿名规则。我们研究了与核心-一致性投票规则的属性。最后,我们证明了一个悲观主义者可以在多项式时间内操纵核心,而一个乐观主义者则根本无法操纵它。