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首页> 外文期刊>Procedia Computer Science >Flexible and Intelligent Learning Architectures for SoS (FILA-SoS): Architectural Evolution in Systems-of-Systems
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Flexible and Intelligent Learning Architectures for SoS (FILA-SoS): Architectural Evolution in Systems-of-Systems

机译:SoS的灵活智能学习体系结构(FILA-SoS):系统系统中的体系结构演进

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摘要

The dynamic planning for a system-of-systems is a challenging endeavor. Department of Defense (DoD) programs constantly face challenges to incorporate new systems and upgrade existing systems over a period of time under threats, constrained budget, and uncertainty. It is therefore necessary for the DoD to be able to look at the future scenarios and critically assess the impact of technology and stakeholder changes. The DoD currently is looking for options that signify affordable acquisition selections and lessen the cycle time for early acquisition and new technology addition. This paper gives an overview of a novel methodology known as the Flexible Intelligent & Learning Architectures in System-of-Systems (FILA-SoS). This approach allows for analyzing sequential decisions in evolving SoS architectures. An ISR SoS example illustrates an application of the method.
机译:系统间的动态规划是一项具有挑战性的工作。国防部(DoD)计划在面临威胁,预算有限和不确定性的一段时间内不断面临合并新系统和升级现有系统的挑战。因此,国防部有必要能够审视未来的情况,并严格评估技术和利益相关方变更的影响。国防部目前正在寻找能够负担得起的购置选择并减少早期购置和新技术添加周期的选项。本文概述了一种新颖的方法,称为系统中的灵活智能和学习体系结构(FILA-SoS)。这种方法可以分析不断发展的SoS架构中的顺序决策。一个ISR SoS示例说明了该方法的应用。

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