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Controllability of a Nonlinear Voter Model
Author(s) -
Mohsen Aghazadeh Shiran
Publication year - 2018
Publication title -
mapta journal of mechanical and industrial engineering (mjmie)
Language(s) - English
Resource type - Journals
ISSN - 2517-4258
DOI - 10.33544/mjmie.v2i2.50
Subject(s) - controllability , nonlinear system , voter model , focus (optics) , statistical physics , dynamical systems theory , computer science , complex system , work (physics) , nonlinear dynamical systems , mathematical economics , mathematics , theoretical computer science , artificial intelligence , physics , quantum mechanics , optics , thermodynamics
Received May 19th, 2018 Revised Jul 18th, 2018 Accepted August 3th, 2018 Converging and emerging behavior of different phenomena call for a strong tool to describe the behavior of mutli-agent systems. Economics and quantitative sociology are two of the most important areas where these behavioral patterns are observed. In this paper, a brief introduction to statistical physics is provided as a tool to understand and investigate the upper-mentioned phenomena. Some of the available interaction models used in quantitative sociology have been presented to get an idea of how they work. Using one of these models, a discrete nonlinear dynamic system is presented. Main focus of this paper is providing necessary tools and solutions for discrete nonlinear dynamical systems. Keyword:

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