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首页> 外文期刊>Latin America Transactions, IEEE (Revista IEEE America Latina) >Measurement of Power Indexes in Weighted Voting Games by Monte-Carlo Simulation
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Measurement of Power Indexes in Weighted Voting Games by Monte-Carlo Simulation

机译:蒙特卡罗模拟法在加权投票游戏中的功率指数测量

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摘要

This paper aims to present a simulation model, through the Monte Carlo method that measures the Power Index of the Banzhaf and Shapley-Shubik. The problematic has been prepared taking into consideration the complexity involved in the calculation these indices for large voting commissions. The study involved one simulation model for each power index, and made two simulations, the first with 10 thousand coalition and other with 100 thousand coalition successively repeated for 200 times. The results pointed to confirm the potential of the established simulation. The results presented absolute errors mean less than 10^(-3)for model with 10 thousand simulations and less than 10^(-4) for model with 100 thousand simulations. Likewise, analyzing linear correlation between the standard deviation of the estimates and the absolute error, it was confirmed that the standard deviation could be understood as a factor of control of the estimated error. It was concluded by satisfaction of aim of the research and verification of the Monte Carlo simulation as a potentially applicable to estimated Power Indexes Banzhaf and Shapley-Shubik.
机译:本文旨在通过蒙特卡洛方法提供一个模拟模型,该模型可测量Banzhaf和Shapley-Shubik的功率指数。考虑到大型投票委员会在计算这些指数时所涉及的复杂性,已经准备好了这个问题。该研究涉及每个功率指标的一个仿真模型,并进行了两次仿真,第一个仿真有1万个联盟,而另一个仿真有10万个联盟,连续重复了200次。结果表明证实了建立模拟的潜力。结果表明,对于具有1万次模拟的模型,绝对误差均值小于10 ^(-3),对于具有10万次模拟的模型,绝对误差均值小于10 ^(-4)。同样,通过分析估计的标准偏差和绝对误差之间的线性相关性,可以确认标准偏差可以理解为控制估计误差的因素。通过对蒙特卡洛模拟研究和验证的目标满意而得出结论,认为蒙特卡洛模拟可能适用于估算的功率指数Banzhaf和Shapley-Shubik。

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