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Minority persistence in agent based model using information and emotional arousal as control variables

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  • Pawel Sobkowicz

Abstract

We present detailed analysis of the behavior of an agent based model of opinion formation, using a discrete variant of cusp catastrophe behavior of single agents. The agent opinion about a particular issue is determined by its information about the issue and its emotional arousal. It is possible that for agitated agents the same information would lead to different opinions. This results in a nontrivial individual opinion dynamics. The agents communicate via messages, which allows direct application of the model to ICT based communities. We study the dependence of the composition of an agent society on the range of interactions and the rate of emotional arousal. Despite the minimal number of adjustable parameters, the model reproduces several phenomena observed in real societies, for example nearly perfectly balanced results of some highly contested elections or the fact that minorities seldom perceive themselves to be a minority. Copyright EDP Sciences, SIF, Springer-Verlag Berlin Heidelberg 2013

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  • Pawel Sobkowicz, 2013. "Minority persistence in agent based model using information and emotional arousal as control variables," The European Physical Journal B: Condensed Matter and Complex Systems, Springer;EDP Sciences, vol. 86(7), pages 1-11, July.
    • Handle: RePEc:spr:eurphb:v:86:y:2013:i:7:p:1-11:10.1140/epjb/e2013-40029-0
    DOI: 10.1140/epjb/e2013-40029-0
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    1. Dorogovtsev, S.N. & Mendes, J.F.F., 2003. "Evolution of Networks: From Biological Nets to the Internet and WWW," OUP Catalogue, Oxford University Press, number 9780198515906.
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    Cited by:

    1. Yang, G. & Chen, Y. & Huang, J.P., 2016. "The highly intelligent virtual agents for modeling financial markets," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 443(C), pages 98-108.
    2. Maia, H.P. & Ferreira, S.C. & Martins, M.L., 2021. "Adaptive network approach for emergence of societal bubbles," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 572(C).
    3. Pawel Sobkowicz, 2018. "Opinion Dynamics Model Based on Cognitive Biases of Complex Agents," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 21(4), pages 1-8.
    4. Fan, Kangqi & Pedrycz, Witold, 2015. "Emergence and spread of extremist opinions," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 436(C), pages 87-97.

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