There is an urgent need for more efficient and resilient infrastructure systems to support a growing population with increasingly scarce resources worldwide. As the demand for limited natural and man‐made resources grows, improved methods for resolving anticipated and unforeseen conflicts of availability are needed. System automation has broadly been adopted for efficiency optimization and resource deconfliction via preplanned actions and responses to anticipated needs. However, human intervention is still relied upon up to resolve emergent issues for which automation lacks the flexibility and adaptability to resolve. In this research, a context‐based decision model for system automation is presented that uses satisficing heuristics to deconflict shared resources without preplanning or human intervention. Via modeling and simulation, the presented model and existing rule‐based algorithms were applied to an air traffic management problem to compare performance with respect to: (a) system efficiency, (b) standard deviation of efficiency, and (c) system stability as a measure of disruption avoidance. Simulation results demonstrate that the presented model concurrently supports efficiency optimization and disruption avoidance for airspace deconfliction, averaging 9.7% higher system efficiency and a 1.5% lower standard deviation of efficiency than the existing rule‐based standard for aircraft collision avoidance (based on an air traffic density of 45 aircraft per 10 000 square nautical miles). The model presented here is extensible to engineered systems that rely on shared, finite resources for mission execution. This research is relevant to the domains of critical infrastructure management, risk management, distributed control systems, and mission assurance.

中文翻译：

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关键基础架构系统的基于上下文的自动化，以提高效率，利益相关者的权益和弹性

迫切需要一种更高效，更具弹性的基础架构系统，以支持全球人口日益稀缺的日益增长的人口。随着对有限的自然和人工资源的需求增长，需要改进的方法来解决预期的和无法预料的可用性冲突。通过预先计划的行动和对预期需求的响应，系统自动化已广泛用于效率优化和资源冲突。但是，仍然需要依靠人工干预来解决新兴问题，而这些问题的自动化缺乏灵活性和适应性。在这项研究中，提出了一种基于上下文的系统自动化决策模型，该模型使用令人满意的启发式方法来消除共享资源的冲突，而无需进行预先计划或人工干预。通过建模和仿真，将提出的模型和现有的基于规则的算法应用于空中交通管理问题，以比较以下方面的性能：（a）系统效率，（b）效率标准偏差和（c）系统稳定性，作为避免干扰的一种度量。仿真结果表明，与现有的基于规则的航空器避撞标准（基于空中交通流量）相比，该模型同时支持效率优化和避免空域冲突的干扰，平均提高了9.7％的系统效率，而效率的标准差降低了1.5％每1万平方海里有45架飞机的密度）。这里介绍的模型可扩展到依赖共享有限资源执行任务的工程系统。