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Three-Dimensional Agent-Based Model and Simulation of a Burglar's Target Selection

机译:基于三维Agent的防盗目标选择模型与仿真

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Residential burglary has been one of the most active research topics in the study of crime. It is also one of the most common crime types and sometimes has a long-lasting impact on victims not only financially but also psychologically. In order to understand residential burglary, many methods have been used such as analyses of crime data and national crime survey data, interviews with incarcerated burglars (and active ones), and developing models and simulations. Recently agent-based modeling and simulation (ABMS) has widely become utilized to understand burglars' behaviours at an individual level. However, many studies have developed and simulated their burglar models and environments in two dimensions (2D). This paper presents realistic, three-dimensional (3D) models and simulations of a residential burglar and its virtual environment. By incorporating 3D aspects of the models and simulations, accurate microinteractions between the burglar and its environment can be simulated. The presented burglar model shows its target selection process based on wealth and layout cues. The benefits and limitations of the 3D ABMS approach are discussed. A few case studies show the validity of this approach and the possibility of its predictive and preventive use.
机译:住宅盗窃一直是犯罪研究中最活跃的研究主题之一。它也是最常见的犯罪类型之一,有时不仅在经济上而且在心理上对受害者都具有长期影响。为了了解住宅盗窃,已经使用了许多方法,例如犯罪数据和国家犯罪调查数据的分析,对被监禁的盗贼(和现役盗贼)的采访以及开发模型和模拟。最近,基于代理的建模和仿真(ABMS)已被广泛用于了解单个级别的防盗行为。但是,许多研究已经在二维(2D)中开发并模拟了其防盗模型和环境。本文介绍了住宅防盗及其虚拟环境的逼真的三维(3D)模型和仿真。通过合并模型和仿真的3D方面,可以模拟防盗与其周围环境之间的精确微相互作用。提出的防盗模型显示了基于财富和布局线索的目标选择过程。讨论了3D ABMS方法的优点和局限性。一些案例研究表明了这种方法的有效性以及其预测性和预防性使用的可能性。

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