Stochastic simulation of sequential game-theory voting models

被引：1
|
作者：
Rosenthal, Jeffrey S. [1 ]
机构：
[1] Univ Toronto, Dept Stat, 100 St George St, Toronto, ON M5S 3G3, Canada
来源：
COMMUNICATIONS IN STATISTICS-SIMULATION AND COMPUTATION | 2018年 / 47卷 / 07期
基金：
加拿大自然科学与工程研究理事会;
关键词：
Game theory; Multiple parties; Nash equilibrium; Stochastic simulation; Voting model; DUVERGER;
D O I：
10.1080/03610918.2017.1335405
中图分类号：
O21 [概率论与数理统计]; C8 [统计学];
学科分类号：
020208 ; 070103 ; 0714 ;
摘要：
We discuss the use of stochastic simulation as a tool to learn about optimal behavior and Nash equilibria of a sequential voting model proposed by Osborne, related to Duverger's law. We introduce a graphical Java applet, which implements such simulations and investigates its properties. We show that in an appropriate setup, the applet is guaranteed to eventually find behavior, which is within epsilon of being optimal.
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页码：2040 / 2054
页数：15
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