Dynamic models of self-organization through mass behavior in society

Boris Sokolov, Dmitry Verzilin, Tatiana Maximova, Irina Sokolova

Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review

5 Scopus citations

Abstract

Second-order cybernetic models let explain an influence of mass behavior upon macroeconomic characteristics. In particular, we consider situations related to the self-organization and synergy of interacting socio-economic systems and an impact of random factors. In such situations catastrophic intensity of offensive adaptive mass behavior may produce a negative impact on the economic stability. Nonlinear dynamics of self-organization processes complicates prediction of macroeconomic characteristics via extrapolation of trends. An amplitude-frequency analysis of oscillatory self-organization processes let obtain more relevant forecasts.

Original languageEnglish
Title of host publicationProceedings of the 2nd International Scientific Conference on Intelligent Information Technologies for Industry, IITI 2017
EditorsSergey Kovalev, Andrey Sukhanov, Margreta Vasileva, Valery Tarassov, Vaclav Snasel, Ajith Abraham
PublisherSpringer Nature
Pages114-123
Number of pages10
ISBN (Print)9783319683201
DOIs
StatePublished - 2018
Event2nd International Conference on Intelligent Information Technologies for Industry, IITI 2017 - Varna, Bulgaria
Duration: 14 Sep 201716 Sep 2017

Publication series

NameAdvances in Intelligent Systems and Computing
Volume679
ISSN (Print)2194-5357

Conference

Conference2nd International Conference on Intelligent Information Technologies for Industry, IITI 2017
CountryBulgaria
CityVarna
Period14/09/1716/09/17

Scopus subject areas

  • Control and Systems Engineering
  • Computer Science(all)

Keywords

  • Adaptive behavior
  • Neocybernetics
  • Nonlinear dynamics
  • Self-organization

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