NDLI: Beyond Command and Control: Sense Making under Large World Uncertainty

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Beyond Command and Control: Sense Making under Large World Uncertainty

Content Provider	Semantic Scholar
Author	Levy, Jason K.
Copyright Year	2011
Abstract	During military endeavors a large amount of information floods in from a variety of sources, both human sources and non-human sources such as autonomous (robotic) vehicles, sensors, etc. Timely evaluation of intelligence with background information is necessary for effective operations, but the sheer volume of incoming data poses a tremendous challenge. Automatically fusing data derived from multiple diverse sources into recognizable patterns of potentially threatening behavior can provide a distinct operational advantage, allowing commanders to react with agile, appropriate responses to an ever-changing situation. This advantage would be even more marked if the model is flexible enough to respond to changing patterns of behavior, and if the time needed for processing was close to real-time. In this article we present an easily modifiable model for threats which use Battle Management Language (BML) as the underlying standardized language for representation and fusion. The model is simple and based upon heuristics, its strength lies in the analysis and quantification of uncertainties in the fusion process. And most importantly, it provides a near realtime solution for first-pass processing of inflowing information to provide early warning of developing threats. 2 The International C2 Journal \| Vol 5, No
File Format	PDF HTM / HTML
Alternate Webpage(s)	http://www.dodccrp.org/files/IC2J_v5n1_D_Bryant.pdf
Alternate Webpage(s)	http://www.dodccrp.org/files/IC2J_v5n1_A_Moffat.pdf
Alternate Webpage(s)	http://www.dodccrp.org/files/IC2J_v5n1_H_Hipel.pdf
Language	English
Access Restriction	Open
Content Type	Text
Resource Type	Article

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