系统仿真学报 ›› 2015, Vol. 27 ›› Issue (3): 439-447.

• 综述 •    下一篇

群体性暴力行为的多主体建模研究综述与思考

陈鹏1, 陈建国2, 袁宏永2   

  1. 1.中国人民公安大学警务信息工程学院, 北京 102600;
    2.清华大学公共安全研究院, 北京 100084
  • 收稿日期:2014-02-24 修回日期:2014-07-24 出版日期:2015-03-08 发布日期:2020-08-20
  • 作者简介:陈鹏(1981-),男,辽宁人,博士,讲师,研究方向为突发事件应急管理与模拟仿真;陈建国(1978-),男,浙江人,博士,副教授,研究方向为突发事件应急决策关键技术;袁宏永(1965-),男,湖北人,博士,教授,研究方向为突发事件应急管理。
  • 基金资助:
    国家自然科学基金青年项目(71203229)

Revision and Thinking about Agent-based Modeling Research to Group Violent Activity

Chen Peng1, Chen Jianguo2, Yuan Hongyong2   

  1. 1. Institute for Policing Information Engineering, People's Public Security University of China, Beijing 102600, China;
    2. Institute for Public Safety Research, Tsinghua University, Beijing 100084, China
  • Received:2014-02-24 Revised:2014-07-24 Online:2015-03-08 Published:2020-08-20

摘要: 对基于复杂适应系统理论的群体性暴力行为多主体建模研究进行了综述,阐述并总结了群体暴力行为建模的社会学理论基础及主体分类、主体关系定义、主体的情绪产生、适应性决策和复杂行为进化等方面的工作,指出了目前的群体性暴力行为建模呈现出了由简单到复杂、由一般到具体的发展趋势,其中基于社会学与心理学理论的个体的个性化和差异化建模将会是一个重要的发展方向。提出了群体暴力行为多主体建模应考虑纳入高密度人群的谣言传播机制、加强社会学合作研究完善模型的可靠性和开展大规模虚拟仿真来服务于应急管理的建议与思考。

关键词: 群体行为, 突发事件, 仿真建模, Agent

Abstract: The current work about Agent-based modeling research on group violent incidents was reviewed, which included the social science theory which undertakes the group violence simulation, the studies about Agent categorization, relationship modeling, Agent emotion production, adaptive decision-making process and evolution of complex behaviors. It was indicated that the constructing of Agent model experienced the process in which the Agent model transited from simplicity to more complexity, thus, focusing on individuality and heterogeneity's model construction which was integrated more on sociology and psychology would become a significant development trend. Following that, some suggestions and thinking which included the principle of rumor spreading being involved into the model, improving model's reliability by introducing more sociology work and developing big-scale visual simulation to serve for emergency management were proposed.

Key words: group behaviors, emergency incidents, simulation, Agent

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