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Monte Carlo Methods for Calculating Shapley-Shubik Power Index in Weighted Majority Games
Description
This paper addresses Monte Carlo algorithms for calculating the Shapley-Shubik power index in weighted majority games. First, we analyze a naive Monte Carlo algorithm and discuss the required number of samples. We then propose an efficient Monte Carlo algorithm and show that our algorithm reduces the required number of samples as compared to the naive algorithm.
identifier:oai:t2r2.star.titech.ac.jp:50428073
Journal
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- Proceedings of WAAC2018
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Proceedings of WAAC2018 2018-08
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Details 詳細情報について
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- CRID
- 1050292572143497216
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- NII Article ID
- 120006705545
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- Text Lang
- en
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- Article Type
- conference paper
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- Data Source
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- IRDB
- CiNii Articles