We propose a model of evolving protection against systemic risk related to recovery. Using the failure potential in network-agent dynamics, we present a process-based simulation that provides insights into alternative interventions and their mechanical uniqueness. The fundamental operating principle of this model is that computation allows greater emphasis on optimizing the recovery within the general regularity of random network dynamics. The rules and processes that are used here could be regarded as useful techniques in systemic risk measurement relative to numerical failure reduction analyses.

中文翻译：

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恢复在不断发展的针对系统风险的保护中的作用：网络代理动力学中的机械视角

我们提出了一种针对与恢复相关的系统性风险的不断发展的保护模型。利用网络代理动力学中的潜在故障，我们提出了一个基于过程的模拟，该模拟提供了对替代干预及其机械唯一性的见解。该模型的基本工作原理是计算允许在随机网络动态的一般规律性内更加强调优化恢复。相对于减少故障的数值分析，此处使用的规则和过程可以被视为系统风险度量中的有用技术。