全球智库信息集成服务系统(G2TT): Optimising an agent-based model to explore the behaviour of simulated burglars.

G2TT

来源类型	Book Section
DOI	10.1007/978-3-642-39149-1_12
	Optimising an agent-based model to explore the behaviour of simulated burglars.
	Malleson N; See L; Evans A; Heppenstall AJ; Dabbaghian, V.; Mago, V.K.
发表日期	2014
出处	Theories and Simulations of Complex Social Systems. Eds. Dabbaghian, V. & Mago, V.K. , Berlin: Springer. DOI: 10.1007/978-3-642-39149-1_12 .
出版年	2014
语种	英语
摘要	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.
主题	Ecosystems Services and Management (ESM)
URL	http://pure.iiasa.ac.at/id/eprint/11131/
来源智库	International Institute for Applied Systems Analysis (Austria)
引用统计
资源类型	智库出版物
条目标识符	http://119.78.100.153/handle/2XGU8XDN/134378
推荐引用方式 GB/T 7714	Malleson N,See L,Evans A,et al. Optimising an agent-based model to explore the behaviour of simulated burglars.. 2014.