Abstract
We describe an extension of the Tactical Battle Manager, which uses goal reasoning techniques to control unmanned air vehicles in simulated scenarios of beyond-visual-range air combat. Our prior work with the Tactical Battle Manager focused primarily on behavior recognition, the task of identifying the behaviors being performed by hostile aircraft. In this article, we instead focus on distributed discrepancy detection and response. We also describe an ablation study for which we report evidence that these discrepancy management components improve mission success.
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