Based on LLMs and advanced AI technologies, an intelligent interactive environment for training simulation has been developed to accommodate the evolving modes and requirements of training simulations. Through expert-driven methodologies, an eventic graph encompassing the entire training simulation process is constructed. LLMs and natural language processing technologies are deeply integrated to ensure precise knowledge transmission and real-time support. Additionally, speech recognition and synthesis technologies are employed to create a multi-modal interactive interface, thereby establishing a novel human-computer interaction paradigm grounded in natural dialogue. Experimental results demonstrate that this intelligent environment can substantially enhance the efficiency of knowledge acquisition and the effectiveness of skill mastery among trainees.

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Building Intelligent Environment for Training Simulation

  • Xiangjie Kong,
  • Xiaojing Xu,
  • Peng Wen,
  • Xiang Liu,
  • Wanhong Lin,
  • Hua Deng

摘要

Based on LLMs and advanced AI technologies, an intelligent interactive environment for training simulation has been developed to accommodate the evolving modes and requirements of training simulations. Through expert-driven methodologies, an eventic graph encompassing the entire training simulation process is constructed. LLMs and natural language processing technologies are deeply integrated to ensure precise knowledge transmission and real-time support. Additionally, speech recognition and synthesis technologies are employed to create a multi-modal interactive interface, thereby establishing a novel human-computer interaction paradigm grounded in natural dialogue. Experimental results demonstrate that this intelligent environment can substantially enhance the efficiency of knowledge acquisition and the effectiveness of skill mastery among trainees.