Dynamic Models of Self-organization Through Mass Behavior in Society

被引：1

作者：

Sokolov, Boris ^{[1
,2
]}

Verzilin, Dmitry ^{[1
,3
]}

Maximova, Tatiana ^{[2
]}

Sokolova, Irina ^{[4
]}

机构：

[1] Russian Acad Sci SPIIRAS, St Petersburg Inst Informat & Automat, 14th Lin VO 39, St Petersburg 199178, Russia

[2] St Petersburg Natl Res Univ Informat Technol Mech, Kronverksky Pr 49, St Petersburg 197101, Russia

[3] Lesgaft Natl State Univ Phys Educ Sport & Hlth, Dekabristov 35, St Petersburg 190121, Russia

[4] St Petersburg State Univ, Univ Skayz Emb 7-9, St Petersburg 199034, Russia

来源：

PROCEEDINGS OF THE SECOND INTERNATIONAL SCIENTIFIC CONFERENCE INTELLIGENT INFORMATION TECHNOLOGIES FOR INDUSTRY (IITI'17), VOL 1 | 2018年 / 679卷

基金：

俄罗斯基础研究基金会;

关键词：

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

D O I：

10.1007/978-3-319-68321-8_12

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

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.

引用

页码：114 / 123

页数：10

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