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arXiv 2301.02462cs.MAcs.AIcs.CC
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衡量先验投票权——认真对待委托

Measuring a Priori Voting Power -- Taking Delegations Seriously

Rachael Colley, Théo Delemazure, Hugo Gilbert

AI总结:

本文提出衡量流动民主中选民先验投票权的新权力指数,扩展了Penrose-Banzhaf指数,证明一般情形下计算临界性为#P难,但在二部图或完全图等特定网络中可伪多项式时间计算,并通过数值实验展示委托限制对投票权的影响。

摘要:

我们引入了新的权力指数,用于衡量流动民主选举中选民的先验投票权,其中底层网络限制了委托。我们认为,我们的权力指数是简单投票博弈中标准Penrose-Banzhaf指数的自然扩展。我们证明,即使投票权重在实例规模上多项式有界,计算选民的临界性也是#P难的。然而,对于特定设置,例如当底层网络是二部图或完全图时,递归公式可以在伪多项式时间内计算加权投票博弈的这些指数。我们强调了它们的理论性质,并提供了数值结果来说明限制可能的委托如何改变选民的投票权。

英文摘要:

We introduce new power indices to measure the a priori voting power of voters in liquid democracy elections where an underlying network restricts delegations. We argue that our power indices are natural extensions of the standard Penrose-Banzhaf index in simple voting games. We show that computing the criticality of a voter is #P-hard even when voting weights are polynomially-bounded in the size of the instance. However, for specific settings, such as when the underlying network is a bipartite or complete graph, recursive formulas can compute these indices for weighted voting games in pseudo-polynomial time. We highlight their theoretical properties and provide numerical results to illustrate how restricting the possible delegations can alter voters' voting power.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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