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This paper explores personalized and intelligent training technologies using AI, cognitive modeling, and machine learning to accelerate warfighter skill development. It focuses on leveraging Large Language Models (LLMs) and GenAI for mental model elicitation, theory of mind representation, and human-AI co-learning in dynamic environments. The research aims to optimize training regimens, enhance performance tracking, and improve human-machine teaming by integrating diverse cognitive state measures for actionable insights and adaptive instruction. The ultimate goal is to maximize training efficiency and maintain a combat edge.

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United States Air Force Research Laboratory Investments in AI for Military Training and Education

  • 会议论文

  • 发表日期：

    2026年

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  • Tiffany Myers,
  • James D’Amour,
  • Jayde King,
  • Lorraine Borghetti

摘要

This paper explores personalized and intelligent training technologies using AI, cognitive modeling, and machine learning to accelerate warfighter skill development. It focuses on leveraging Large Language Models (LLMs) and GenAI for mental model elicitation, theory of mind representation, and human-AI co-learning in dynamic environments. The research aims to optimize training regimens, enhance performance tracking, and improve human-machine teaming by integrating diverse cognitive state measures for actionable insights and adaptive instruction. The ultimate goal is to maximize training efficiency and maintain a combat edge.