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
收藏
页码:114 / 123
页数:10
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