ARTIST: Adaptive and Robust Temporal Inference for Self-Supervised Tactics

Tactics, techniques, and procedures (TTPs) support decision making by leveraging intelligence, experience, and mission objectives to detect, mitigate, and respond to stimuli within varied defense environments (from hostilities to peace). They are well-planned actions. If they fail, information poverty during their creation is the likely culprit. As mission complexity increases due to the increased dimensionality of data collection and new, more capable actors, the additional information gathered does not make that information less impoverished or well-planned actions more resilient. TTPs must now adapt to dynamic conditions. Moreover, with mission complexity challenging operator workload, more incentive exists to offload operators of their real-time analysis, assessment, planning, and deployment tasks, to reduce errors and achieve mission objectives expeditiously. Aptima proposes to address these challenges with artificial intelligence capable of developing domain awareness and synthesizing TTPs aligned with mission objectives. Generally, we will do this probabilistically, leveraging acquired knowledge and current observation to identify opportunities to sense, assess, and act in the moment. Our solution will be trusted because we will ensure that algorithmic outputs are credible and explainable. It will be resilient because it will depend on an explore/exploit paradigm rather than a reference lookup.