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Self-Generating Policies for Machine Learning in Coalition Environments., , , , , , , , , and . PADG@ESORICS, volume 11550 of Lecture Notes in Computer Science, page 42-65. Springer, (2018)Rapid Trust Calibration through Interpretable and Uncertainty-Aware AI., , , , , , , and . Patterns, 1 (4): 100049 (2020)Learning Service Semantics for Self-Organization in Distributed Environments: Concepts and Research Directions., , , , , , , , and . MILCOM, page 1080-1085. IEEE, (2018)Value of Information: Quantification and Application to Coalition Machine Learning., , and . PADG@ESORICS, volume 11550 of Lecture Notes in Computer Science, page 21-41. Springer, (2018)Towards human-agent knowledge fusion (HAKF) in support of distributed coalition teams., , , , , , and . CoRR, (2020)Supporting Scientific Enquiry with Uncertain Sources., and . FUSION, page 1-8. IEEE, (2018)A Systems Approach to Achieving the Benefits of Artificial Intelligence in UK Defence., , and . CoRR, (2018)Federated Learning for Coalition Operations., , , , , , , , , and 1 other author(s). CoRR, (2019)Intra-group Tension Under Inter-group Conflict: A Generative Model Using Group Social Norms and Identity., , , , , and . AHFE (26), volume 610 of Advances in Intelligent Systems and Computing, page 167-179. Springer, (2017)