Dynamic variant of mathematical model of collective behavior

被引:2
|
作者
Belolipetskii, A. A. [1 ]
Kozitsin, I. V. [1 ,2 ]
机构
[1] Moscow Inst Phys & Technol, Dolgoprudnyi, Russia
[2] Russian Acad Sci, Inst Control Sci, Moscow, Russia
关键词
D O I
10.1134/S1064230717030054
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
In 2014, P.S. Krasnoshchekov, Academician at the Russian Academy of Sciences, offered A.A. Belolipetskii to continue research on the collective behavior of people by generalizing his earlier static model to the dynamic case. For this reason, this work is regarded as a tribute to commemorate Krasnoschekov, an outstanding scientist. The fundamental quantitative model Krasnoshchekov proposed in his works studied a static model of collective behavior when people can change their original opinion on a subject after one stage of informational interaction. Opinions are assumed to be alternatives. A person can support his country to join the WTO with probability p and object to it with probability 1 - p. In this work, multistep opinion exchange processes are considered. Quantitative characteristics of values of probabilities p (of people's opinions) are obtained as functions of the step number and the rate of change of these probabilities. For instance, the way the mass media can control the opinions of their target audience if this audience has certain psychological characteristics is studied.
引用
收藏
页码:385 / 396
页数:12
相关论文
共 50 条
  • [31] DYNAMIC COLLECTIVE MODEL OF GIANT RESONANCE
    REZWANI, V
    GNEUSS, G
    ARENHOVEL, H
    [J]. PHYSICAL REVIEW LETTERS, 1970, 25 (24) : 1667 - +
  • [32] A mathematical model of collective cell motility and pattern formation
    Szabo, Andras
    Czirok, Andras
    [J]. FASEB JOURNAL, 2008, 22
  • [33] The Mathematical Model of Behavior Management and Behavior Probability
    Sun Shaorong
    Cui Xiaoli
    [J]. 2008 4TH INTERNATIONAL CONFERENCE ON WIRELESS COMMUNICATIONS, NETWORKING AND MOBILE COMPUTING, VOLS 1-31, 2008, : 7092 - +
  • [34] A Composition Method to Model Collective Behavior
    Song, Junsup
    Lee, Moonkun
    [J]. PRACTICE OF ENTERPRISE MODELING (POEM 2018), 2018, 335 : 121 - 137
  • [35] Collective behavior in Cascade and Schelling model
    Iwanaga, Saori
    Namatame, Akira
    [J]. 17TH ASIA PACIFIC SYMPOSIUM ON INTELLIGENT AND EVOLUTIONARY SYSTEMS, IES2013, 2013, 24 : 217 - 226
  • [36] CONTROL IN A CERTAIN MODEL OF COLLECTIVE BEHAVIOR
    GOLDFAIN, II
    [J]. AUTOMATION AND REMOTE CONTROL, 1973, 34 (02) : 257 - 261
  • [37] Dynamic behavior in mathematical models of the tryptophan operon
    Santillán, M
    Mackey, MC
    [J]. CHAOS, 2001, 11 (01) : 261 - 268
  • [38] MATHEMATICAL-MODELING OF THE DYNAMIC BEHAVIOR IN RTP
    ZOLLNER, JP
    PATZSCHKE, I
    PIETZUCH, V
    PEZOLDT, J
    LEITZ, G
    [J]. MICROELECTRONIC ENGINEERING, 1994, 25 (2-4) : 359 - 364
  • [39] Dynamic behavior of bulk crystallization: Mathematical modeling
    Natalukha, IA
    [J]. THEORETICAL FOUNDATIONS OF CHEMICAL ENGINEERING, 1996, 30 (04) : 361 - 371
  • [40] ON THE MATHEMATICAL SIMULATION OF THE DYNAMIC BEHAVIOR OF COMPRESSOR SYSTEMS
    KALAC, H
    [J]. FORSCHUNG IM INGENIEURWESEN-ENGINEERING RESEARCH, 1988, 54 (02): : 67 - 68