Skip to main content

Agent-Based Assessments of Criminological Theory

  • Reference work entry
  • First Online:
Encyclopedia of Criminology and Criminal Justice

Synonyms

ABM; Agent-based modelling; Computational criminology; Individual-based modelling; Simulation

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...

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 4,350.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Hardcover Book
USD 4,999.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Recommended Reading and References

  • Axelrod R (1997) The complexity of cooperation: agent-based models of competition and collaboration. Princeton University Press, Princeton

    Google Scholar 

  • Axelrod R (2005) Advancing the art of simulation in the social sciences. Idea Group, Hersey

    Google Scholar 

  • Axtell R, Epstein J (1994) Agent-based modeling: understanding our creations, vol. 9. Bulletin of the Santa Fe Institute

    Google Scholar 

  • 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

    Google Scholar 

  • Birks D, Townsley M, Stewart A (2012) Generative models of crime: using simulation to test criminological theory. Criminology 50(1):221–254

    Google Scholar 

  • 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

    Google Scholar 

  • Bosse T, Elffers H, Gerritsen C (2010) Simulating the dynamical interaction of offenders, targets and guardians. Crime Patterns Anal 3(1):51–66

    Google Scholar 

  • Brantingham P, Brantingham P (2004) Computer simulation as a tool for environmental criminologists. Secur J 17(1):21–30

    Google Scholar 

  • 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

    Google Scholar 

  • 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

    Google Scholar 

  • Cornish D (1994) The procedural analysis of offending and its relevance for situational prevention, vol 3, Crime prevention studies. Criminal Justice Press, Monsey

    Google Scholar 

  • Eck J, Liu L (2008) Contrasting simulated and empirical experiments in crime prevention. J Exp Criminol 4:195–213

    Google Scholar 

  • 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

    Google Scholar 

  • Epstein J (1999) Agent-based computational models and generative social science. Complexity 4(5):41–60

    Google Scholar 

  • Epstein J (2006) Generative social science: studies in agent-based computational modeling. Princeton University Press, Princeton

    Google Scholar 

  • Epstein J, Axtell R (1996) Growing artificial societies: social science from the bottom up. MIT Press, Cambridge

    Google Scholar 

  • Fung K, Vemuri S (2003) The significance of initial conditions in simulations. J Artif Soc Soc Simul 6(3)

    Google Scholar 

  • 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

    Google Scholar 

  • 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

    Google Scholar 

  • Hedström P (2005) Dissecting the social: on principles of analytical sociology. Cambridge University Press, Cambridge

    Google Scholar 

  • Johnson S (2008) Repeat burglary victimisation: a tale of two theories. J Exp Criminol 4:215–240

    Google Scholar 

  • Liu L, Wang X, Eck J, Liang J (2005) Simulating crime events and crime patterns in a RA/CA model. Idea Publishing, Reading

    Google Scholar 

  • Malleson N, Evans A, Jenkins T (2009) An agent-based model of burglary. Environ Plan B Plan Des 36:1103–1123

    Google Scholar 

  • Schelling T (1978) Micromotives and macrobehaviour. W.W. Norton & Company, New York

    Google Scholar 

  • Schlesinger S (1980) Terminology for model credibility. Simulation 34:101–105

    Google Scholar 

  • Townsley M, Birks D (2008) Building better crime simulations: systematic replication and the introduction of incremental complexity. J Exp Criminol 4(3):309–333

    Google Scholar 

  • 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

    Google Scholar 

  • Van Baal P (2004) Computer simulations of criminal deterrence: from public policy to local interaction to individual behaviour. Boom Juridische uitgevers, The Hague

    Google Scholar 

  • 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

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Daniel Birks .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2014 Springer Science+Business Media New York

About this entry

Check for updates. Verify currency and authenticity via CrossMark

Cite this entry

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

Download citation

  • DOI: https://doi.org/10.1007/978-1-4614-5690-2_687

  • Published:

  • Publisher Name: Springer, New York, NY

  • Print ISBN: 978-1-4614-5689-6

  • Online ISBN: 978-1-4614-5690-2

  • eBook Packages: Humanities, Social Sciences and Law

Publish with us

Policies and ethics