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An Application of Multi-Agent Simulation to Policy Appraisal in the Criminal Justice System

An Application of Multi-Agent Simulation to Policy Appraisal in the Criminal Justice System

Seán Boyle, Stephen Guerin, Daniel Kunkle
ISBN13: 9781591406495|ISBN10: 1591406498|EISBN13: 9781591406518
DOI: 10.4018/978-1-59140-649-5.ch012
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MLA

Boyle, Seán, et al. "An Application of Multi-Agent Simulation to Policy Appraisal in the Criminal Justice System." Computational Economics: A Perspective from Computational Intelligence, edited by Shu-Heng Chen, et al., IGI Global, 2006, pp. 228-234. https://doi.org/10.4018/978-1-59140-649-5.ch012

APA

Boyle, S., Guerin, S., & Kunkle, D. (2006). An Application of Multi-Agent Simulation to Policy Appraisal in the Criminal Justice System. In S. Chen, L. Jain, & C. Tai (Eds.), Computational Economics: A Perspective from Computational Intelligence (pp. 228-234). IGI Global. https://doi.org/10.4018/978-1-59140-649-5.ch012

Chicago

Boyle, Seán, Stephen Guerin, and Daniel Kunkle. "An Application of Multi-Agent Simulation to Policy Appraisal in the Criminal Justice System." In Computational Economics: A Perspective from Computational Intelligence, edited by Shu-Heng Chen, Lakhmi Jain, and Chung-Ching Tai, 228-234. Hershey, PA: IGI Global, 2006. https://doi.org/10.4018/978-1-59140-649-5.ch012

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Abstract

This chapter reports on a multi-agent approach to the construction of a model of the English criminal justice system. The approach is an integration of model-building with ways of enabling people to engage in strategic policy making and take into account the complex interactions of the criminal justice system. From the workings of the police to court procedures to prisons, decisions in one area of the criminal justice system can be crucial in determining what happens in another area. The purpose was to allow assessment of the impact across the whole justice system of a variety of policies.

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