• DocumentCode
    480839
  • Title

    Comparison of Agent-Based and Population-Based Simulations of Displacement of Crime

  • Author

    Bosse, Tibor ; Gerritsen, Charlotte ; Hoogendoorn, Mark ; Jaffry, S. Waqar ; Treur, Jan

  • Author_Institution
    Dept. of Artificial Intell., Vrije Univ. Amsterdam, Amsterdam
  • Volume
    2
  • fYear
    2008
  • fDate
    9-12 Dec. 2008
  • Firstpage
    469
  • Lastpage
    476
  • Abstract
    Within criminology, the process of crime displacement is usually explained by referring to the interaction of three types of agents: criminals, passers-by, and guardians. Most existing simulation models of this process are agent-based. However, when the number of agents considered becomes large, population-based simulation has computational advantages over agent-based simulation. This paper presents both an agent-based and a population-based simulation model of crime displacement, and reports a comparative evaluation of the two models. In addition, an approach is put forward to analyse the behaviour of both models by means of formal techniques.
  • Keywords
    law administration; multi-agent systems; police data processing; agent-based simulations; crime displacement simulations; formal techniques; population-based simulations; Analytical models; Artificial intelligence; Cities and towns; Computational modeling; Differential equations; Intelligent agent; Mathematical model; Mathematics; Spatiotemporal phenomena; agent-based simulation; crime displacement; population-based simulation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Web Intelligence and Intelligent Agent Technology, 2008. WI-IAT '08. IEEE/WIC/ACM International Conference on
  • Conference_Location
    Sydney, NSW
  • Print_ISBN
    978-0-7695-3496-1
  • Type

    conf

  • DOI
    10.1109/WIIAT.2008.333
  • Filename
    4740668