Scoring Simulations with Artificial Intelligence

This technical report discusses the integration of artificial intelligence (AI) in scoring simulations, emphasizing its impact on training and assessment methodologies. It outlines the evolution of simulations, which are designed to replicate real-world scenarios for training purposes, and highlights the significance of fidelity in simulation design. The report explains how AI can enhance the scoring process by automating data analysis and improving accuracy in evaluations that were previously reliant on expert judgment. It details the potential of AI to manage large datasets generated during high-fidelity simulations and its ability to provide real-time feedback. The report also addresses the historical context of AI in decision-making and its advancements in machine learning, particularly in natural language processing. By leveraging AI, organizations can optimize training processes, scale simulations more effectively, and develop more predictive scoring models, ultimately transforming the landscape of training and assessment in various fields.