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Dynamic Models of Self-organization Through Mass Behavior in Society

Sokolov B., Verzilin D., Maximova T., Sokolova I. Dynamic Models of Self-organization Through Mass Behavior in Society // Advances in Intelligent Systems and Computing. Volume 1. Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 679). – Publisher: Springer International Publishing AG, 2018, pp. 114-123(Print ISBN 978-3-319-68320-1, Online ISBN 978-3-319-68321-80) DOI 10.1007/978-3-319-68321-8


Sokolov B., Verzilin D., Maximova T., Sokolova I. Dynamic Models of Self-organization Through Mass Behavior in Society // Advances in Intelligent Systems and Computing. Volume 1. Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 679). – Publisher: Springer International Publishing AG, 2018, pp. 114-123(Print ISBN 978-3-319-68320-1, Online ISBN 978-3-319-68321-80) DOI 10.1007/978-3-319-68321-8


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.