多角度CAS合作涌现量化分析方法

摘要

针对传统方法缺少涌现性判断和涌现性度量不全面的问题,将自组织、复杂网络等复杂性科学理论与基于仿真的系统宏观分析方法相结合,提出了一种多角度CAS合作涌现量化分析方法.分析复杂适应系统网络拓扑特性,建立其合作涌现评估指标参数集；借助仿真实时捕获网络拓扑的动态演化特征,通过自组织临界判断,界定合作涌现的发生；从网络复杂性、涌现结构和涌现价值3个角度考虑,建立合作涌现效能评估模型,探究涌现性结论；通过DDoS协同防御涌现研究实例验证了方法的有效性.%For the lack of judgement and incomprehensive measurement of emergence in traditional methods,a multi-angle quantitative analysis method for cooperation emergence is proposed by considering combing some complexity science theory such as self-organization and complex network with simulation-based system macroanalysis method.First,evaluation index parameter set is established by analyzing network topological features of the CAS.Then,on the basis of capturing real-time dynamic evolution characteristics of network topology using simulation,and using self-organized criticality judgement method,the occurrence of cooperation emergence is defined.After that,considering network complexity,emergence structure and value,cooperation emergence effectiveness evaluation model is established,and emergence conclusion would gained.Finally,this method is verified by DDoS cooperative defense emergence instance.