Malleson, N, Evans, A, Heppenstall, A et al. (1 more author) (2014) Optimising an Agent-Based Model to Explore the Behaviour of Simulated Burglars. Intelligent Systems Reference Library, 52. 179 - 204. ISSN 1868-4394
Abstract
Agent-based methods are one approach for modelling complex social systems but one issue with these models is the large number of parameters that require estimation. This chapter examines the effect of using a genetic algorithm (GA) for the parameter estimation of an agent-based model (ABM) of burglary. One of the main issues encountered in the implementation was the computation time required to run the algorithm. Nevertheless a set of preliminary results were obtained, which indicated that visibility is the most important parameter in the decision of whether to burgle a house while accessibility was the least important. Such tools may eventually provide the means to gain a greater understanding of the factors that determine criminological behaviour.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2014, Springer Verlag. This is an author produced version of a paper published Intelligent Systems Reference Library. Uploaded in accordance with the publisher's self-archiving policy. The final publication is available at link.springer.com. |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Environment (Leeds) > School of Geography (Leeds) |
Depositing User: | Symplectic Publications |
Date Deposited: | 09 Dec 2013 17:17 |
Last Modified: | 01 Jan 2015 01:38 |
Published Version: | http://dx.doi.org/10.1007/978-3-642-39149-1_12 |
Status: | Published |
Publisher: | Springer |
Identification Number: | 10.1007/978-3-642-39149-1_12 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:77251 |