Title :
Comparison of Agent-Based and Population-Based Simulations of Displacement of Crime
Author :
Bosse, Tibor ; Gerritsen, Charlotte ; Hoogendoorn, Mark ; Jaffry, S. Waqar ; Treur, Jan
Author_Institution :
Dept. of Artificial Intell., Vrije Univ. Amsterdam, Amsterdam
Abstract :
Within criminology, the process of crime displacement is usually explained by referring to the interaction of three types of agents: criminals, passers-by, and guardians. Most existing simulation models of this process are agent-based. However, when the number of agents considered becomes large, population-based simulation has computational advantages over agent-based simulation. This paper presents both an agent-based and a population-based simulation model of crime displacement, and reports a comparative evaluation of the two models. In addition, an approach is put forward to analyse the behaviour of both models by means of formal techniques.
Keywords :
law administration; multi-agent systems; police data processing; agent-based simulations; crime displacement simulations; formal techniques; population-based simulations; Analytical models; Artificial intelligence; Cities and towns; Computational modeling; Differential equations; Intelligent agent; Mathematical model; Mathematics; Spatiotemporal phenomena; agent-based simulation; crime displacement; population-based simulation;
Conference_Titel :
Web Intelligence and Intelligent Agent Technology, 2008. WI-IAT '08. IEEE/WIC/ACM International Conference on
Conference_Location :
Sydney, NSW
Print_ISBN :
978-0-7695-3496-1
DOI :
10.1109/WIIAT.2008.333