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CROSS: Modelling Crowd Behaviour with Social-Cognitive Agents

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Abstract

The use of computer simulations in crowd research is a powerful tool to describe and analyse complex social systems. This paper presents CROSS, a generic framework to model crowd simulations as a social scientific tool for understanding crowd behaviour. In CROSS, individuals are represented by social-cognitive agents that are affected by their social and physical surroundings and produce cognition-based behaviour and behaviour patterns. Understanding is sought by relating intra- and inter-individual levels of behaviour generation with behaviour pattern emergence at group level. By specifying the CROSS framework for a festival context we demonstrate how CROSS meets the need for a theory that reflects the dynamic interplay between individuals and their environment as well as the need for a method that allows for testing.

Suggested Citation

  • Nanda Wijermans & René Jorna & Wander Jager & Tony van Vliet & Otto Adang, 2013. "CROSS: Modelling Crowd Behaviour with Social-Cognitive Agents," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 16(4), pages 1-1.
    • Handle: RePEc:jas:jasssj:2012-40-2
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    1. Dirk Helbing & Illés Farkas & Tamás Vicsek, 2000. "Simulating dynamical features of escape panic," Nature, Nature, vol. 407(6803), pages 487-490, September.
    2. Dirk Helbing & Lubos Buzna & Anders Johansson & Torsten Werner, 2005. "Self-Organized Pedestrian Crowd Dynamics: Experiments, Simulations, and Design Solutions," Transportation Science, INFORMS, vol. 39(1), pages 1-24, February.
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    Cited by:

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    2. G. B. Korovin, 2020. "Architecture of the agent-based model for the region’s industrial complex digital transformation," Journal of New Economy, Ural State University of Economics, vol. 21(3), pages 158-174, October.

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