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ACP(Artificial Society,Computational Experiments,Parallel Execution)方法作为解决复杂系统研究分析问题的手段,已经在公共安全等领域发挥了重要的作用。随着大数据、智能学习、博弈方法等技术的发展,为解决研究中遇到的核心问题,提出一种智能化的平行实验方法,基于该方法讨论了在公共安全、生物威胁安防和联合作战实验方面的研究可能性。给出了方法在公共安全领域的案例,包括人群疏散案例、网络舆情案例以及化工区安防案例。基于案例进一步拓展智能化的平行实验方法在更多领域的应用和思考。
ACP (Artificial Society, Computational Experiments, Parallel Execution) method has played an important role in the field of public safety as a means of solving complex system research and analysis problems. With the development of technologies such as big data, intelligent learning and game methods, an intelligent parallel experiment method is proposed to solve the core problems encountered in the research. Based on this method, the methods of public safety, biological threat security and joint operations Experimental research possibilities. Examples of methods in the field of public safety are given, including examples of evacuation of population, cases of public opinion on the Internet and cases of security in chemical industry zone. Based on case to further extend the intelligence of parallel experimental methods in more areas of application and thinking.