The model of voting originated social dynamics in a stochastic environment (the ViSE model) is considered. Within this model, the influence of the heaviness of distribution tails on the effectiveness of egoistic and altruistic strategies in terms of maximizing two criteria, the average capital increment and the number of non-bankrupt participants, is investigated. Homogeneous societies and four types of distributions used to generate proposals (Gaussian, logistic, Student’s with 3 degrees of freedom, and symmetrized Pareto distributions) are studied. To assess the effect of tail heaviness, all distributions are unified by quartile using scatter. Such an approach can be used to compare the heavy-tailed distributions that are commensurable by density with other distributions under consideration on an interval containing 90% of observations.

考虑了随机环境中投票产生的社会动态模型（ViSE模型）。在此模型中，研究了分布尾部的沉重程度对利己主义和利他主义策略在最大化两个标准（平均资本增量和非破产参与者人数）方面的影响。研究了同质社会和用于生成提案的四种分布（高斯分布，逻辑分布，具有3个自由度的Student分布以及对称的Pareto分布）。为了评估尾部沉重的影响，所有分布通过四分位数使用散点图统一。这样的方法可以用来比较密度可比的重尾分布与在考虑包含90％观测值的区间内正在考虑的其他分布进行比较。