Social decision schemes (SDSs) map the preferences of individual voters over multiple alternatives to a probability distribution over the alternatives. In order to study properties such as efficiency, strategyproofness, and participation for SDSs, preferences over alternatives are typically lifted to preferences over lotteries using the notion of stochastic dominance (SD). However, requiring strategyproofness or participation with respect to this preference extension only leaves room for rather undesirable SDSs such as random dictatorships. Hence, we focus on the natural but little understood pairwise comparison (PC) preference extension, which postulates that one lottery is preferred to another if the former is more likely to return a preferred outcome. In particular, we settle three open questions raised by Brandt (2017): (i) there is no Condorcet-consistent SDS that satisfies PC-strategyproofness; (ii) there is no anonymous and neutral SDS that satisfies PC-efficiency and PC-strategyproofness; and (iii) there is no anonymous and neutral SDS that satisfies PC-efficiency and strict PC-participation. All three impossibilities require m >= 4 alternatives and turn into possibilities when m <= 3.
翻译:社会决策方案(SDS)绘制了选民个人对多种可能性分布的替代方案(SDS)的偏好;为了研究效率、战略防守性、参与战略安全方案等特性,通常会取消对替代品的偏好,而利用随机支配地位的概念(SD),优于彩票优于彩票的偏好;然而,对这一优惠扩展要求战略的防守性或参与,只能给诸如随机专制等不受欢迎的特殊安全数据系统留有余地;因此,我们侧重于自然但很少人理解的对等比较(PC)的优待性(PC)扩展,其中假定如果前者更可能返回优先的结果,则彩票优于另一种。特别是,我们解决Brandt(2017年)提出的三个公开问题:(i) 没有符合PC-战略防制的调和一致的SDSDS;(ii) 没有匿名和中立的SDSDS能够满足社会效率和PC-战略防制;(iii)没有匿名和中立的SDSDSDS,不能满足PC效率和严格的PC-参与。