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CROSS: Modelling Crowd Behaviour with Social-Cognitive Agents

CROSS: Modelling Crowd Behaviour with Social-Cognitive Agents 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. Keywords: Crowd Behaviour, Social-Cognitive Model, Multi-Level, Agent-Based, Crowds Introduction 1.1 From the movement of pilgrims in Mecca to the violence and looting of rioters in the streets of London, crowds display fascinating patterns. Whenever crowds are a topic of conversation or study, usually the attention goes out to the rare instances of undesired behaviour, danger and violence, like emergencies and riots. Empirical crowd research delivers an empirically based description of crowd behaviour and provides socio-psychological explanations http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Journal of Artificial Societies and Social Simulation Unpaywall

CROSS: Modelling Crowd Behaviour with Social-Cognitive Agents

Wijermans, Nanda; Jorna, René; Jager, Wander; Vliet, Tony van; Adang, Otto
Journal of Artificial Societies and Social Simulation – Jan 1, 2013
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Publisher
Unpaywall
ISSN
1460-7425
DOI
10.18564/jasss.2114
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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. Keywords: Crowd Behaviour, Social-Cognitive Model, Multi-Level, Agent-Based, Crowds Introduction 1.1 From the movement of pilgrims in Mecca to the violence and looting of rioters in the streets of London, crowds display fascinating patterns. Whenever crowds are a topic of conversation or study, usually the attention goes out to the rare instances of undesired behaviour, danger and violence, like emergencies and riots. Empirical crowd research delivers an empirically based description of crowd behaviour and provides socio-psychological explanations

Journal

Journal of Artificial Societies and Social Simulation – Unpaywall

Published: Jan 1, 2013

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