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Computer Science > Computer Science and Game Theory

arXiv:2504.14195 (cs)
[Submitted on 19 Apr 2025 ]

Title: The River Method

Title: 河流方法

Authors:Michelle Döring, Markus Brill, Jobst Heitzig
Abstract: We introduce River, a novel Condorcet-consistent voting method that is based on pairwise majority margins and can be seen as a simplified variation of Tideman's Ranked Pairs method. River is simple to explain, simple to compute even 'by hand', and gives rise to an easy-to-interpret certificate in the form of a directed tree. Like Ranked Pairs and Schulze's Beat Path method, River is a refinement of the Split Cycle method and shares with those many desirable properties, including independence of clones. Unlike the other three methods, River satisfies a strong form of resistance to agenda-manipulation that is known as independence of Pareto-dominated alternatives.
Abstract: 我们介绍River,一种新颖的符合康多塞原则的投票方法,它基于成对多数优势,并可以看作是Tideman的排序对方法的一种简化变体。River易于解释,即使手动计算也很简单,并且以有向树的形式产生一个易于解释的证明。与排序对方法和Schulze的击败路径方法一样,River是对分裂循环方法的改进,并与这些方法共享许多优良特性,包括对克隆的独立性。与其他三种方法不同,River满足一种被称为帕累托占优替代方案独立性的强形式的抗议程操纵性。
Subjects: Computer Science and Game Theory (cs.GT)
Cite as: arXiv:2504.14195 [cs.GT]
  (or arXiv:2504.14195v1 [cs.GT] for this version)
  https://doi.org/10.48550/arXiv.2504.14195
arXiv-issued DOI via DataCite

Submission history

From: Michelle Döring [view email]
[v1] Sat, 19 Apr 2025 06:13:26 UTC (4,640 KB)
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