摘要
通过复杂网络上的多智能体的建模与仿真,对疾病的传播过程进行了模拟,研究了疾病传播在不同条件下的传播特征。通过设定采取4个仿真过程,得出疾病的传播即使是以极小的概率治愈也能使系统得到良性发展,验证了前期疫苗式免疫的重要性等结论。
Through the multi-agent modeling and simulation based on complex network,the spread of the disease process has been simulated using Repast platform,which examines the spread of the disease under different conditions of the macro-laws. By setting to take four simulation processes,this paper has come to the spread of disease even if a very small probability of cure can also enable the system to be a benign development as well as the importance of pre-vaccine-type immunity and other conclusions.
出处
《计算机工程与应用》
CSCD
北大核心
2010年第20期12-15,32,共5页
Computer Engineering and Applications
基金
国家自然科学基金No.70773041~~
关键词
Repast平台
复杂网络
传播
仿真
Recursive Porous Agent Simulation Toolki（tRepast）
complex network
spread
simulation
