Artificial Intelligence (AI)-based Battle Management (BM) for Multi-mission Integrated Air and Missile Defense (IAMD)

STILMAN has developed an Explainable Artificial Intelligence (XAI)-based planning and supervisory decision aid for resource allocations (sensors and weapons) across multiple platforms and domains in real-time. This quantitative analysis capability is ideally suited to quickly solve extraordinarily complex IAMD resource allocation problems. As raid frequency and size escalates, the need for a synchronized response increases the complexity of resource allocation decisions. STILMAN has developed an XAI-based dynamic kill chain planning and preview capability. Unlike many other Artificial Intelligence (AI) approaches, this LG-based XAI analysis is fast, flexible, scalable, and explainable – and it applies to multi-mission, multi-domain and multi-tier sensor and weapon platforms. Dynamic, “i.e., reactive” resource allocation recommendations are displayed via 2D or 3D animations. The animations and quantitative metrics provide the human commander with an on-the-loop visualization that prioritizes resource allocations in faster than real-time. Approved for Public Release | 22-MDA-11339 (13 Dec 22)