Aggressively Self-learning Defensive Coordinator for Autonomous Countermeasure Systems

To address the Navy’s need for a defensive coordinator for autonomous countermeasure systems (ACSs), Physical Optics Corporation (POC) proposes to develop a new Aggressively Self-learning Defensive Coordinator for Autonomous Countermeasure Systems (DEFCOM). Specifically, the innovation in the combat network training strategy will enable AIs at each entity in the ACS to observe the adversary assets, their arrangement, and historical behaviors and to correlate those data into a unified situational awareness, in turn helping the AIs predict future behaviors and actions of the adversary and derive plans of concerted/coordinated and automated actions/responses and, as a whole defense network, engage and mitigate the threat according to a predefined set of engagement rules. As a result, this technology offers a solution to provide the defensive coordination capability for ACSs, directly addressing the Navy requirements for a defensive coordinator for ACSs. In Phase I, POC will demonstrate this technology’s feasibility by developing initial bounded algorithms for an unmanned aircraft system (UAS)-implemented “defensive coordinator” and demonstrating the proposed design in a representative war game context, reaching technology readiness level (TRL)-3/-4. In Phase II, POC plans to develop a fully functional prototype that will reach TRL-5/-6 and be ready for initial tests at a Navy facility.