Presentation + Paper
30 May 2022 Using game theory and machine learning to provide white cell automation support in the adjudication of war games
Bruce Nagy
Author Affiliations +
Abstract
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.
Conference Presentation
© (2022) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Bruce Nagy "Using game theory and machine learning to provide white cell automation support in the adjudication of war games", Proc. SPIE 12117, Disruptive Technologies in Information Sciences VI, 1211705 (30 May 2022); https://doi.org/10.1117/12.2622928
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KEYWORDS
Artificial intelligence

Binary data

Statistical analysis

Evolutionary algorithms

Monte Carlo methods

Defense and security

Computer simulations

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