Overview
This entry discusses the application of computational agent-based models (ABM) in exploring the ramifications of crime event mechanisms proposed by criminological theory. In particular, it describes how simulation experiments can be used to systematically assess the plausibility of crime event theories in explaining commonly observed patterns of crime and how the use and development of ABM may offer a viable method of theoretical prototyping free from traditional empirical constraints which in turn encourages theorists to explicitly specify the mechanisms by which they propose observed crime phenomena come about.
Introduction
A wide range of criminological theories provide individual-level depictions of the crime event. Such theories outline hypothesized mechanisms of cognition and action for both potential victims and offenders and, in turn, the influences that the local...
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Recommended Reading and References
Axelrod R (1997) The complexity of cooperation: agent-based models of competition and collaboration. Princeton University Press, Princeton
Axelrod R (2005) Advancing the art of simulation in the social sciences. Idea Group, Hersey
Axtell R, Epstein J (1994) Agent-based modeling: understanding our creations, vol. 9. Bulletin of the Santa Fe Institute
Birks D, Donkin S, Wellsmith M (2008). Synthesis over Analysis: Towards an Ontology for Volume Crime Simulation. In: Liu L, Eck J (eds) Artificial crime analysis systems: using computer simulations and geographical systems. Hershey, PA: IGI Global, pp 160–191
Birks D, Townsley M, Stewart A (2012) Generative models of crime: using simulation to test criminological theory. Criminology 50(1):221–254
Bonabeau E (2002) Agent-based modeling: methods and techniques for simulating human systems. Proc Nat Acad Sci U S A (PNAS) 99(3):7280–7287
Bosse T, Elffers H, Gerritsen C (2010) Simulating the dynamical interaction of offenders, targets and guardians. Crime Patterns Anal 3(1):51–66
Brantingham P, Brantingham P (2004) Computer simulation as a tool for environmental criminologists. Secur J 17(1):21–30
Brantingham P, Tita G (2008) Offender mobility and crime pattern formation from first principles. Idea Group. In: Liu L, Eck J (eds) Artificial crime analysis systems: using computer simulations and geographical systems. Hershey, PA: IGI Global, pp 193–208
Brantingham P, Glasser U, Jackson P, Kinney B, Vajihollahi M (2008) Mastermind: computational modelling and spatiotemporal aspects of crime in urban environments. In: Liu L, Eck J (eds) Artificial crime analysis systems: using computer simulations and geographical systems. Hershey, PA: IGI Global, pp 252–280
Cornish D (1994) The procedural analysis of offending and its relevance for situational prevention, vol 3, Crime prevention studies. Criminal Justice Press, Monsey
Eck J, Liu L (2008) Contrasting simulated and empirical experiments in crime prevention. J Exp Criminol 4:195–213
Elffers H, Van Baal P (2008) Realistic spatial backcloth is not that important in agent based simulation research. An illustration from simulating perceptual deterrence. In: Liu L, Eck J (eds) Artificial crime analysis systems: using computer simulations and geographic information systems. Hershey, PA: IGI Global, pp 19–34
Epstein J (1999) Agent-based computational models and generative social science. Complexity 4(5):41–60
Epstein J (2006) Generative social science: studies in agent-based computational modeling. Princeton University Press, Princeton
Epstein J, Axtell R (1996) Growing artificial societies: social science from the bottom up. MIT Press, Cambridge
Fung K, Vemuri S (2003) The significance of initial conditions in simulations. J Artif Soc Soc Simul 6(3)
Gilbert N (2004) Agent-based social simulation: dealing with complexity. http://cress.soc.surrey.ac.uk/resources/ABSS
Gilbert N, Troitzsch K (2005) Simulation for the social scientist, 2nd edn. Open University Press, London
Groff E (2007) Simulation for theory testing and experimentation: an example using routine activity theory and street robbery. J Quant Criminol 23(2):75–103
Hedström P (2005) Dissecting the social: on principles of analytical sociology. Cambridge University Press, Cambridge
Johnson S (2008) Repeat burglary victimisation: a tale of two theories. J Exp Criminol 4:215–240
Liu L, Wang X, Eck J, Liang J (2005) Simulating crime events and crime patterns in a RA/CA model. Idea Publishing, Reading
Malleson N, Evans A, Jenkins T (2009) An agent-based model of burglary. Environ Plan B Plan Des 36:1103–1123
Schelling T (1978) Micromotives and macrobehaviour. W.W. Norton & Company, New York
Schlesinger S (1980) Terminology for model credibility. Simulation 34:101–105
Townsley M, Birks D (2008) Building better crime simulations: systematic replication and the introduction of incremental complexity. J Exp Criminol 4(3):309–333
Townsley M, Johnson S (2008) The need for systematic replication and tests of validity in simulation. In: Liu L, Eck J (eds) Artificial crime analysis systems: using computer simulations and geographical systems. Hershey, PA: IGI Global, pp 1–18
Van Baal P (2004) Computer simulations of criminal deterrence: from public policy to local interaction to individual behaviour. Boom Juridische uitgevers, The Hague
Wang X, Liu L, Eck J (2008) Crime simulation using GIS and artificial intelligent agents. In Liu L, Eck J (eds) Artificial crime analysis systems: using computer simulations and geographical gystems. Hershey, PA: IGI Global, pp 209–225
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Birks, D., Elffers, H. (2014). Agent-Based Assessments of Criminological Theory. In: Bruinsma, G., Weisburd, D. (eds) Encyclopedia of Criminology and Criminal Justice. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-5690-2_687
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DOI: https://doi.org/10.1007/978-1-4614-5690-2_687
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