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Agent-Based Modelling of Social Emotional Decision Making in Emergency Situations

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Co-evolution of Intelligent Socio-technical Systems

Abstract

Social decision making under stressful circumstances may involve strong emotions and contagion from others. Recent developments in Social Neuroscience have revealed neural mechanisms by which social contagion of cognitive and emotional states can be realised. In this paper, based on these mechanisms, an agent-based computational model is proposed. Furthermore, it is demonstrated how the proposed cognitive model can be transformed into an equivalent behavioural model without any cognitive states. As an application of the model, a computational analysis was performed of patterns in crowd behaviour, in particular by agent-based simulation of a real-life incident that took place on May 4, 2010 in Amsterdam. The results of the model analysis show the inclusion of contagion of belief, emotion, and intention states of agents results in better reproduction of the incident than non-inclusion.

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Notes

  1. 1.

    A short movie with images from the live broadcast on Dutch National Television, can be found at: http://www.youtube.com/watch?v=0cEQp8OQj2Y. This shows how, within two minutes, the crowd starts to panic and move.

  2. 2.

    Permission granted for educational and research purposes by The Netherlands Institute for Sound and Vision.

  3. 3.

    See http://www.few.vu.nl/~tbosse/may4/. This URL contains two animations: one in which only the result of the model with contagion is shown, and one in which the results of all four models are shown together.

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Correspondence to Tibor Bosse or Alexei Sharpanskykh .

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Bosse, T. et al. (2013). Agent-Based Modelling of Social Emotional Decision Making in Emergency Situations. In: Mitleton-Kelly, E. (eds) Co-evolution of Intelligent Socio-technical Systems. Understanding Complex Systems. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-36614-7_5

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  • DOI: https://doi.org/10.1007/978-3-642-36614-7_5

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