System of Systems Analysis Tool (SoSAT), developed by Sandia National Laboratories, is a government-owned software package (GOTS) with System-of-Systems modeling and simulation capabilities. Tuning its model parameters depend on less adaptable and manual methods and are subject to human error (operator error) with a limited availability of skilled/trained analysts/engineers familiar with SoSAT. 4042 AI in partnership with Systecon, proposes a prototype that combines the world class Opus Suite Software with the applied methodology of 4042âs Artificial Intelligence (AI) and machine learning (ML) algorithms to solve and provide real-time computational intelligence that optimizes Army logistics and sustainment simulations and predictions for both legacy and future Army missile assets, missile systems, and related system-of-systems. The Phase I prototype will integrate with and improve the decision making information capability available vs SoSAT used as a stand alone system and will be designed with the ability to automate the continual improvement of model parameters through the use of Tactical Augmented Optimization (TAO) and Hyper-tuning
