委员会搜索中的最优投票规则

ERN: Search Pub Date : 2018-07-05 DOI:10.2139/ssrn.3208838
Vincent Mak
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引用次数: 0

摘要

我们分析了一个离散时间搜索问题,其中委员会成员在有限的搜索范围内依次检查备选方案。当得到一定数量的个人投票支持时,就会达成停止搜索并接受当前替代方案的集体决定。我们研究了使委员会预期福利最大化的最优投票规则。如果未来的公用事业没有太大的时间折扣,那么选择被接受的最佳投票阈值在搜索范围的长度上是不减少的;但如果折扣因子过低,则最佳阈值投票数可能会随着搜索范围的长度而减小。我们的结论与以往关于无限视界搜索的研究是一致的。我们的结果是由委员会福利和个人策略之间的紧张关系驱动的,接受平庸的替代方案,以避免未来不利的相互否决。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Optimal Voting Rules in Committee Search
We analyze a discrete-time search problem in which committee members inspect alternatives sequentially over a finite search horizon. A collective decision to stop searching and accept the current alternative is reached when it is supported by a threshold number of individual votes. We investigate optimal voting rules that maximize the committee’s expected welfare. If future utilities are not too heavily time discounted, then the optimal threshold number of votes for an alternative to be accepted is non-decreasing in the length of the search horizon; but if the discount factor is too low, then the optimal threshold number of votes could decrease in the length of the search horizon. Our conclusions are consistent with previous studies on infinite-horizon search. Our results are driven by a tension between committee welfare and individual strategies of accepting mediocre alternatives to avoid adverse mutual vetoing in the future.
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