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review: Clustering and Fighting in Two-party Crowds: Simulat

已有 2023 次阅读 2011-12-28 20:24 |个人分类:Econometrics|系统分类:科研笔记|关键词:学者

Clustering and Fighting in Two-party Crowds: Simulating the Approach-avoidance Conflict
    Wander Jager, Roel Popping and Hans van de Sande
Journal of Artificial Societies and Social Simulation  JASSS (on-line)  2001
 
Abstract
  When two large groups of people meet in the same space, many outcomes are possible, depending on the types of groups and the occasion. These outcomes may range from a peaceful mingling of the two groups to the occurrence of fights and riots. Because the group processes leading to these outcomes are difficult to study experimentally, we developed a multi-agent simulation model in which the approach-avoidance conflict has been formalised in simulated actors. We worked with three different kinds of agents: hardcore, hangers-on (食客,奉承者 ) and bystanders, the difference between them consisting in the frequency with which they scan their surroundings. Data on clustering, and 'fights' are presented for 80 simulation runs, in which group size, size symmetry and group composition were varied. The conclusions are that fights especially happen in asymmetrical large groups with relatively large proportions of hardcore members. Moreover, it appears that it are especially the hardcore group members and the hangers-on that attack other agents, whereas bystanders are victimised. The paper ends with a discussion on the validity of these findings, leading us to conclude that basic aspects of rioting behaviour are quite realistically represented in our simulation model.
 
Keywords: Approach-avoidance; Conflict; Crowds
 
1  Introduction
  the objective of this paper:  to simulate the behaviour of people in crowd situations
  the factor to trigger riot: 
  this idea of a transformation of human characteristics in a crowd
 
2 Simulation of Crowd Behaviour 
 
3 The Simulation Model of Crowd Behaviour 
 
4 Results 


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