LG-based Generation of COAs, Short- and Long-term plans, as well as Interactive 5-D Overlays for the MTC2/C2X Planning System

To provide enhanced situational awareness and understanding in multi-domain environments, new methods to generate COAs as well as short- and long-term plans are needed. Artificial Intelligence (AI) can enable the above COA/plans and Weapon-Target-Pairing generation which, in turn, will provide automation for enhanced situational awareness and understanding in multi-domain environment. Spreadsheets and 2-D representations have proven to be effective in identifying unit support, assigning roles, tasks and actions within the maritime, air and land mission domains, however they are limited in their ability to visually represent multi-unit or multi-domain temporal coordination. Whereas the traditional AI techniques, when applied to military domains, are either non-scalable or are uncapable of explaining (using notions that the users could understand) the generated solutions (e.g., plans or decisions), we propose to a novel application of the new Explainable AI called Linguistic Geometry (LG). Given a complex mission in multi-domain environment, LG-AI rapidly generates COAs as well as short- and long-term plans with their 2-D or 3-D (whichever appropriate, as selected by users) visualizations. Combined with capability to animate those COAs and plans (i.e., providing additional dimension representing battlespace dynamics) this provides an enhanced situational awareness/understanding in multi-domain environment. LG AI technology is scalable and, as it generates plans and COAs, it simultaneously generates their explanations in terms of Actions-Reactions-Counteractions that are intuitively graspable by military personnel. These dynamic, predictive COAs have been verifiably shown to improve the temporal coordination of assets and quantify decision and reaction times as well as increasing the situational understanding of tactical performance envelopes and tactical tradeoffs. 4-D and 5-D representations emerge when 2-D and 3-D spatial representations are combined with two additional dimensions: (1) temporal (enabled by animation representing battlespace dynamics) and (2) parameter spaces such as dynamic threats, distributed sensor and weapon coverage areas, and other key mission factors, such as decision and reaction times. This will be provided via LG-AI based 5-D overlays.