Cognitive computing for coalition situational understanding

20 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

Rapid Trust Calibration through Interpretable and Uncertainty-Aware AI (2020, background): “10 The envisaged scenario poses several challenges for current AI techniques.”
Distributed Machine Learning in Coalition Environments: Overview of Techniques (2018, background): “There is strong potential of machine learning techniques for use in military coalition environments to gain situation understanding through sensing in the operational environment, learning optimal conﬁgurations of networks and systems, characterizing and predicting adversarial entities [1].”
Explainable AI for Intelligence Augmentation in Multi-Domain Operations (2019, background): “As previously noted, CSU requires both collective insight — accurate and deep understanding of a situation derived from uncertain and often sparse data, and collective foresight — the ability to predict what will happen in the future (Preece et al. 2017).”