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An Experimentation Platform for Explainable Coalition Situational Understanding
[article]
2020
arXiv
pre-print
We present an experimentation platform for coalition situational understanding research that highlights capabilities in explainable artificial intelligence/machine learning (AI/ML) and integration of symbolic and subsymbolic AI/ML approaches for event processing. The Situational Understanding Explorer (SUE) platform is designed to be lightweight, to easily facilitate experiments and demonstrations, and open. We discuss our requirements to support coalition multi-domain operations with emphasis
arXiv:2010.14388v2
fatcat:clysndaa6fgdbfclnfrippl2uy