The effect of social influence and curfews on civil violence

Michael Garlick, Maria Chli

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

We investigate the policies of (1) restricting social influence and (2) imposing curfews upon interacting citizens in a community. We compare and contrast their effects on the social order and the emerging levels of civil violence. Influence models have been used in the past in the context of decision making in a variety of application domains. The policy of curfews has been utilised with the aim of curbing social violence but little research has been done on its effectiveness. We develop a multi-agent-based model that is used to simulate a community of citizens and the police force that guards it. We find that restricting social influence does indeed pacify rebellious societies, but has the opposite effect on peaceful ones. On the other hand, our simple model indicates that restricting mobility through curfews has a pacifying effect across all types of society.
Original languageEnglish
Title of host publicationProceedings of the 8th international conference on autonomous agents and multi-agent systems
Pages1335-1336
Number of pages2
Volume2
Publication statusPublished - 2009
Event8th international conference on autonomous agents and multiagent systems - Budapest, Hungary
Duration: 10 May 200915 May 2009

Conference

Conference8th international conference on autonomous agents and multiagent systems
Abbreviated titleAAMAS '09
CountryHungary
CityBudapest
Period10/05/0915/05/09

    Fingerprint

Keywords

  • simulation and modelling
  • model development
  • modelling methodologies
  • social and behavioural sciences
  • sociology
  • experimentation
  • human factors
  • social sciences
  • multi-agent based simulation behaviour
  • environment
  • environment modelling
  • environment simulation

Cite this

Garlick, M., & Chli, M. (2009). The effect of social influence and curfews on civil violence. In Proceedings of the 8th international conference on autonomous agents and multi-agent systems (Vol. 2, pp. 1335-1336)