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Mathematical Models and Robustness Analysis in Epistemic Democracy: A Systematic Review of Diversity Trumps Ability Theorem Models
Philosophy of the Social Sciences ( IF 0.6 ) Pub Date : 2020-05-20 , DOI: 10.1177/0048393120917635
Ryota Sakai 1
Affiliation  

This article contributes to the revision of the procedure of robustness analysis of mathematical models in epistemic democracy using the systematic review method. It identifies the drawbacks of robustness analysis in epistemic democracy in terms of sample universality and inference from samples with the same results. To exemplify the effectiveness of systematic review, this article conducted a pilot review of diversity trumps ability theorem models, which are mathematical models of deliberation often cited by epistemic democrats. A review of nine models extracted from 352 papers exemplifies the effectiveness of robustness analysis supplemented by systematic review in epistemic democracy.

中文翻译:

认知民主中的数学模型和稳健性分析:多样性特朗普能力定理模型的系统评价

本文使用系统评价方法,对认知民主中数学模型的稳健性分析程序的修订做出了贡献。它从样本通用性和从具有相同结果的样本中推断出了认识论民主中稳健性分析的弊端。为了证明系统审查的有效性,本文对多样性王牌能力定理模型进行了先导性审查,该模型是认知民主主义者经常引用的慎重考虑的数学模型。对从352篇论文中提取的9种模型进行的审查,证明了鲁棒性分析的有效性,并辅以系统地审查了民主民主。
更新日期:2020-05-20
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