Agent-based Approach to Crime and Criminal Justice Policy Analysis

AutoreValentina Punzo
Pagine193-194
Agent-based Approach to Crime
and Criminal Justice Policy Analysis
VALEN TIN A PUNZ O
SUMM ARY:1. Introduction – 2. Agent-based Modeling and the Bottom-up Approach to
Computer Simulation – 3. Agent-based Modeling and Crime Analysis: Using Simu-
lated Experiments in Crime Prevention – 4. Agent-basedModels of Crime Pre vention
and Criminal Justice Policies – 5. Conclusions
1. INT RODU CT ION
Agent-based Social Simulation (ABSS) has increasingly been proving to
be successful for the study of crime and criminal justice policies1. The use
of techniques belonging to the f‌ield of computer simulation in policy mod-
elling is also actually increasing2.
Early applications of simulative approach to crime analysis appeared in
the f‌ield of Environmental Criminology3. In 2008, a special issue of the
“Journal of Experimental Criminology” was entirely devoted to current ap-
plications of simulation methods to the study of crime and criminal justice
policies4. As regards crime research, it was suggested how this technique
The Author is research fellowat Roma Tre University,Rome (Italy).
1L. LIU, X. WANG, J.E. ECK, J. LIA NG,Simulation Crime Events and Crime Patterns
in RA/CA Model, in Wang F.(ed.), “Geographic Information Systems and Crime Analysis”,
Singapore, Idea Group, 2005, pp. 197-213; X. WANG ,Spatial Adaptive Crime Event Simu-
lation with RA/CA/ABM Computational Laboratory, Geography Cincinnati, University of
Cincinnati, 2005; L. LIU, J.E. EC K (eds.), Artif‌icial Crime Analysis Systems: Using Computer
Simulations and Geographic Information Systems, Hershey, IGI Global, 2008; D.J. BIRKS, S.
DONK IN, M. WE LLS MIT H,Synthesis over Analysis: Towards an Ontology for Volume Crime
Simulation, in Liu L., Eck J.E. (eds.), “op. cit.”, pp. 160-192.
2M.A. WIMM ER, K. FU RDI K, M. BIC KIN G, M. MACH , T.SA BOL , P.B UTKA,Open Col-
laboration in Policy Development: Concept and Architecture to Integrate Scenario Development
and Formal Policy Modeling, in Charalabidis Y.,Koussouris S. (eds.), “Empowering Open and
Collaborative Governance”, Berlin, Springer Verlag, 2012.
3P.L. BRANTI NGH AM, P.J. BRAN TIN GHA M,Computer Simulation as a Tool for Envi-
ronmental Criminologists, in “Security Journal”, Vol. 17, 2004, n. 1, pp. 21-30; P.L. BRANT-
INGH AM, E.R. G ROFF,The Future of Agent-based Simulation in Environmental Criminology,
in “Proceedings of the American Society of Criminology Conference”, Nashville, 2004.
4E. GROFF, L. M AZE ROLL E,Simulated Experiments and Their Potential Role in Crim-
inology and Criminal Justice, in “Journal of Experimental Criminology”, Vol. 4, 2008, pp.
187-193.
“Informatica e diritto”, Vol. XXII, 2013, n. 1, pp. 193-210
XXXIX annata – Seconda Serie - Fasc. monografico S. Faro, N. Lettieri (a cura di), "Law and Computational Social Science", ESI, Napoli, 2013, 352 p.

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