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A cognitively motivated algorithm for rapid response in emergency situations

机译:一种在紧急情况下快速响应的认知动机算法

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Robust response to crisis situations involving complex, large-scale networks with rapidly changing operational conditions is a fundamental task to be addressed in various task domains, including power systems, computer networks, public health, and many other areas. There are many manifestations of rapid, flexible responses to sudden changes in biological systems, from which we can derive basic principles to design robust technical systems for emergency response. In this work we outline the lessons learnt from brains as they respond to sudden changes basic principles of how the brain responds to environmental stimuli. We describe a hierarchical, multi-level model motivated by the structure and function of the brain and indicate possible applications in engineering designs.
机译:对涉及复杂,大规模网络且操作条件迅速变化的危机情况的可靠响应是在包括电源系统,计算机网络,公共卫生和许多其他领域在内的各个任务领域要解决的一项基本任务。对生物系统的突然变化有快速,灵活的响应的许多表现,从中我们可以得出基本原理,以设计用于应急的强大技术系统。在这项工作中,我们概述了大脑在应对突发变化时所汲取的经验教训,这是大脑对环境刺激的响应的基本原理。我们描述了一个由大脑的结构和功能所激发的分层,多层次的模型,并指出了在工程设计中的可能应用。

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