Standard
Dynamic models of self-organization through mass behavior in society. / Sokolov, Boris; Verzilin, Dmitry; Maximova, Tatiana; Sokolova, Irina.
Proceedings of the 2nd International Scientific Conference on Intelligent Information Technologies for Industry, IITI 2017. ed. / Sergey Kovalev; Andrey Sukhanov; Margreta Vasileva; Valery Tarassov; Vaclav Snasel; Ajith Abraham. Springer Nature, 2018. p. 114-123 (Advances in Intelligent Systems and Computing; Vol. 679).
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
Harvard
Sokolov, B, Verzilin, D, Maximova, T
& Sokolova, I 2018,
Dynamic models of self-organization through mass behavior in society. in S Kovalev, A Sukhanov, M Vasileva, V Tarassov, V Snasel & A Abraham (eds),
Proceedings of the 2nd International Scientific Conference on Intelligent Information Technologies for Industry, IITI 2017. Advances in Intelligent Systems and Computing, vol. 679, Springer Nature, pp. 114-123, 2nd International Conference on Intelligent Information Technologies for Industry, IITI 2017, Varna, Bulgaria,
14/09/17.
https://doi.org/10.1007/978-3-319-68321-8_12
APA
Sokolov, B., Verzilin, D., Maximova, T.
, & Sokolova, I. (2018).
Dynamic models of self-organization through mass behavior in society. In S. Kovalev, A. Sukhanov, M. Vasileva, V. Tarassov, V. Snasel, & A. Abraham (Eds.),
Proceedings of the 2nd International Scientific Conference on Intelligent Information Technologies for Industry, IITI 2017 (pp. 114-123). (Advances in Intelligent Systems and Computing; Vol. 679). Springer Nature.
https://doi.org/10.1007/978-3-319-68321-8_12
Vancouver
Sokolov B, Verzilin D, Maximova T
, Sokolova I.
Dynamic models of self-organization through mass behavior in society. In Kovalev S, Sukhanov A, Vasileva M, Tarassov V, Snasel V, Abraham A, editors, Proceedings of the 2nd International Scientific Conference on Intelligent Information Technologies for Industry, IITI 2017. Springer Nature. 2018. p. 114-123. (Advances in Intelligent Systems and Computing).
https://doi.org/10.1007/978-3-319-68321-8_12
Author
BibTeX
@inproceedings{6b0ff10bd17547eea96f99a3e8c9c5d9,
title = "Dynamic models of self-organization through mass behavior in society",
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.",
keywords = "Adaptive behavior, Neocybernetics, Nonlinear dynamics, Self-organization",
author = "Boris Sokolov and Dmitry Verzilin and Tatiana Maximova and Irina Sokolova",
note = "Funding Information: Acknowledgments. The research described in this paper is partially supported by the Russian Humanitarian Found (grants 15-04-00400), the Russian Foundation for Basic Research (grants 15-07-08391, 15-08-08459, 16-07-00779, 16-08-00510, 16-08-01277, 16-29-09482-ofi-i, 17-08-00797, 17-06-00108, 17-01-00139, 17-20-01214), grant 074-U01 (ITMO University), project 6.1.1 (Peter the Great St. Petersburg Politechnic University) supported by Government of Russian Federation, Program STC of Union State “Monitoring-SG” (project 1.4.1-1), state order of the Ministry of Education and Science of the Russian Federation №2.3135.2017/K, state research 0073–2014–0009, 0073–2015–0007, International project ERASMUS +, Capacity building in higher education, № 73751-EPP-1-2016-1-DE-EPPKA2-CBHE-JP, Innovative teaching and learning strategies in open modeling and simulation environment for student-centered engineering education. Publisher Copyright: {\textcopyright} Springer International Publishing AG 2018. Copyright: Copyright 2017 Elsevier B.V., All rights reserved.; 2nd International Conference on Intelligent Information Technologies for Industry, IITI 2017 ; Conference date: 14-09-2017 Through 16-09-2017",
year = "2018",
doi = "10.1007/978-3-319-68321-8_12",
language = "English",
isbn = "9783319683201",
series = "Advances in Intelligent Systems and Computing",
publisher = "Springer Nature",
pages = "114--123",
editor = "Sergey Kovalev and Andrey Sukhanov and Margreta Vasileva and Valery Tarassov and Vaclav Snasel and Ajith Abraham",
booktitle = "Proceedings of the 2nd International Scientific Conference on Intelligent Information Technologies for Industry, IITI 2017",
address = "Germany",
}
RIS
TY - GEN
T1 - Dynamic models of self-organization through mass behavior in society
AU - Sokolov, Boris
AU - Verzilin, Dmitry
AU - Maximova, Tatiana
AU - Sokolova, Irina
N1 - Funding Information:
Acknowledgments. The research described in this paper is partially supported by the Russian Humanitarian Found (grants 15-04-00400), the Russian Foundation for Basic Research (grants 15-07-08391, 15-08-08459, 16-07-00779, 16-08-00510, 16-08-01277, 16-29-09482-ofi-i, 17-08-00797, 17-06-00108, 17-01-00139, 17-20-01214), grant 074-U01 (ITMO University), project 6.1.1 (Peter the Great St. Petersburg Politechnic University) supported by Government of Russian Federation, Program STC of Union State “Monitoring-SG” (project 1.4.1-1), state order of the Ministry of Education and Science of the Russian Federation №2.3135.2017/K, state research 0073–2014–0009, 0073–2015–0007, International project ERASMUS +, Capacity building in higher education, № 73751-EPP-1-2016-1-DE-EPPKA2-CBHE-JP, Innovative teaching and learning strategies in open modeling and simulation environment for student-centered engineering education.
Publisher Copyright:
© Springer International Publishing AG 2018.
Copyright:
Copyright 2017 Elsevier B.V., All rights reserved.
PY - 2018
Y1 - 2018
N2 - 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.
AB - 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.
KW - Adaptive behavior
KW - Neocybernetics
KW - Nonlinear dynamics
KW - Self-organization
UR - http://www.scopus.com/inward/record.url?scp=85031397808&partnerID=8YFLogxK
U2 - 10.1007/978-3-319-68321-8_12
DO - 10.1007/978-3-319-68321-8_12
M3 - Conference contribution
AN - SCOPUS:85031397808
SN - 9783319683201
T3 - Advances in Intelligent Systems and Computing
SP - 114
EP - 123
BT - Proceedings of the 2nd International Scientific Conference on Intelligent Information Technologies for Industry, IITI 2017
A2 - Kovalev, Sergey
A2 - Sukhanov, Andrey
A2 - Vasileva, Margreta
A2 - Tarassov, Valery
A2 - Snasel, Vaclav
A2 - Abraham, Ajith
PB - Springer Nature
T2 - 2nd International Conference on Intelligent Information Technologies for Industry, IITI 2017
Y2 - 14 September 2017 through 16 September 2017
ER -
