自动化学报2018，Vol.44Issue(2)：251-261,11.DOI:10.16383/j.aas.2018.c160824
基于ACP行为动力学的犯罪主体行为平行建模分析
Parallel Modeling of Criminal Subjects Behavior Based on ACP Behavioral Dynamics
摘要
Abstract
Being important for criminal investigation,criminal behavioral analysis is always an active research topic among scholars.Current methods of criminal behavioral analysis mainly adopt the approach of evidence-behavior inference,and ignore the complex interactions between the criminal and the victim.In the framework of ACP (artificial societies + computational experiments + parallel execution)-based parallel system,this paper proposes temporal-spatial interaction models for artificial criminals from the behavioral dynamics point of view.In addition,actual intentional homicide data is used to demarcate the parameters of the models.Results of computational experiments indicate that the proposed interaction models can simulate the criminal frequencies very well according to the actual data source.Thus they provide a solid foundation for the complex interactions in criminal behavioral analysis.关键词
犯罪/主体行为建模/ACP方法/平行系统/行为动力学Key words
Crime/behavior modeling of agent/ACP approach/parallel system/behavioral dynamics引用本文复制引用
刘烁,王帅,孟庆振,叶佩军,王涛,黄文林,王飞跃..基于ACP行为动力学的犯罪主体行为平行建模分析[J].自动化学报,2018,44(2):251-261,11.基金项目
国家自然科学基金(61603381),公安理论及软科学研究计划(2015LLYJGAES037)资助 Supported by National Natural Science Foundation of China (61603381),and Public Security Theory and Soft Science Research Program (2015LLYJGAES037) （61603381）
