Aptima, Inc., a trailblazer in leveraging artificial intelligence and advanced analytics to enhance mission readiness, announced today that it has received an Air Force Research Laboratory Phase I Small Business Innovation Research (SBIR) award to develop an intelligent, learning system to make sense of the relationships about red force behavior, state, and posture to analyze causality and to make predictions about future states and actions.

Within the Air Force Joint Air Tasking Cycle, Air Combat Command, the information, surveillance, and reconnaissance (ISR) community is responsible for collection planning. This critical work hinges on a comprehensive understanding of the red forces’ behavior—past, present, and future. However, due to the disparate, incomplete, and multidimensional data, it is difficult for ISR analysts to access, process, and interpret the necessary data to create optimal collection plans. The resulting high-cognitive workload of analysts creates risks of underperformance and planning gaps. Aptima and partners Parallax, Inc. are developing the Probabilistic Activity, multi-Level, and Abstractly Distributed Inference kNowledge graph (PALADIN) model over a robust and scalable back-end analytic engine. PALADIN will afford the insertion of red force policies into a dual entity- and event-centric knowledge graph that probabilistically encodes temporal and spatial factors into a schema network. Using deep-generative models, PALADIN will learn the representations and create inference and prediction processes to estimate causes of observed behaviors. PALADIN intends to orchestrate the relationships about red force behavior, state, and posture to analyze causality and make predictions about future states and actions. PALADIN will support ISR analysts in forecasting the evolution of complex, dynamic, and uncertain environments without adding to their workload.

For more information about PALADIN, please contact aptima_info@aptima.com.

U.S. Air Force file photo 130920-F-GS664-013.