用于任务成功分析的绊网激活算法和推理系统(STAAR)

P. Hershey, Michael Sica
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引用次数: 0

摘要

来自多智能来源(例如,空中和空间传感器、街头摄像头和社交媒体)的大量数据使手动或半自主地获取并根据这些数据做出决策的任务操作员不堪重负。这种数据过剩正在推动系统的系统(SoS)解决方案的发展,这些解决方案显示出紧急行为演变为完全自主的方法,允许最终用户首先关注关键数据,以便及时做出决策并确保任务成功。
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System of Systems for Tripwires Activation of Algorithms and Reasoning (STAAR) for Analysis of Mission Success
The flood of data from Multi-Intelligence sources (e.g., air and space sensors, street cameras, and social media) is overwhelming mission operators who manually or semi-autonomously ingest and make decisions on these data. This data glut is driving the development of Systems of Systems (SoS) solutions that exhibit emergent behavior evolving to fully autonomous methods that allow end users to focus on critical data first in order to make timely decisions and assure mission success.
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