计算系统与环境中的鲁棒行为
On Resilient Behaviors in Computational Systems and Environments
AI总结：
本文提出一个讨论计算系统鲁棒性的参考框架，强调鲁棒性是动态过程的涌现结果，定义了弹性、容变性和抗脆弱性等概念，并提供鲁棒性风险和最优匹配的度量方法。
摘要：
本文介绍了一个讨论计算系统鲁棒性的参考框架。将鲁棒性解释为动态过程的涌现结果，而非系统可能具备的属性。该过程代表系统行为与环境行为之间的动态互动。由此可以推导出鲁棒性的多个方面，包括弹性、容变性和抗脆弱性。还提供了鲁棒性风险度量以及给定鲁棒设计与当前环境条件的最佳匹配度量方法。最后，通过一个简单场景展示了基于该模型的鲁棒性策略示例。
英文摘要：
The present article introduces a reference framework for discussing resilience of computational systems. Rather than a property that may or may not be exhibited by a system, resilience is interpreted here as the emerging result of a dynamic process. Said process represents the dynamic interplay between the behaviors exercised by a system and those of the environment it is set to operate in. As a result of this interpretation, coherent definitions of several aspects of resilience can be derived and proposed, including elasticity, change tolerance, and antifragility. Definitions are also provided for measures of the risk of unresilience as well as for the optimal match of a given resilient design with respect to the current environmental conditions. Finally, a resilience strategy based on our model is exemplified through a simple scenario.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
