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Voting Originated Social Dynamics: Quartile Analysis of Stochastic Environment Peculiarities
by
Maksimov, V. M
, Chebotarev, P. Yu
in
Optimization
/ Proposals
/ Quartiles
/ Random variables
/ Voters
2020
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Voting Originated Social Dynamics: Quartile Analysis of Stochastic Environment Peculiarities
by
Maksimov, V. M
, Chebotarev, P. Yu
in
Optimization
/ Proposals
/ Quartiles
/ Random variables
/ Voters
2020
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Voting Originated Social Dynamics: Quartile Analysis of Stochastic Environment Peculiarities
Journal Article
Voting Originated Social Dynamics: Quartile Analysis of Stochastic Environment Peculiarities
2020
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Overview
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.
Publisher
Springer Nature B.V
Subject
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