White Cell adjudication evaluates impact of player moves to create randomness representing realistic scenarios. Players are limited to the view of the game state based on their technologies’ capabilities and intel sources, while the White Cell knows game state truth. The Automated White Cell (TAWC) is developed to provide adjudication guidance as to how much and what types of testing are sufficient to determine acceptable levels of randomness to evaluate AI/Autonomous platforms, including manned-unmanned teaming scenarios. TAWC is based on multi-model data integration, using AI/ML/Game Theory solutions, enhancing the predictive fidelity of Test and Evaluation, Verification and Validation (TEVV) /Live Virtual Construct (LVC) facilities in assessing AI/Autonomous technology strengths and weaknesses.
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