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Machine Learning for Operational Decisionmaking in Competition and Conflict: A Demonstration Using the Conflict in Eastern Ukraine
Daniel Egel
(Autor)
·
Eric Robinson
(Autor)
·
George Bailey
(Autor)
·
RAND Corporation
· Tapa Blanda
Machine Learning for Operational Decisionmaking in Competition and Conflict: A Demonstration Using the Conflict in Eastern Ukraine - Robinson, Eric ; Egel, Daniel ; Bailey, George
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Reseña del libro "Machine Learning for Operational Decisionmaking in Competition and Conflict: A Demonstration Using the Conflict in Eastern Ukraine"
Advances in machine learning have the potential to dramatically change the character of warfare by enhancing the speed, precision, and efficacy of decisionmaking across the national security enterprise. This report explores how machine learning can be leveraged to enable military decisionmaking as a collaboration between machine learning tools and human analysts.
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