Journal of System Simulation ›› 2025, Vol. 37 ›› Issue (11): 2853-2866.doi: 10.16182/j.issn1004731x.joss.24-0921

• Papers • Previous Articles    

Research on CGF-oriented Natural Language Interaction Framework

Li Xinmeng1, Xu Kai2, Hu Yue2, Huang Hesong2, Yin Quanjun2   

  1. 1.Hunan Institute of Advanced Technology, Changsha 410205, China
    2.College of Systems Engineering, National University of Defense Technology, Changsha 410073, China
  • Received:2024-08-21 Revised:2025-04-01 Online:2025-11-18 Published:2025-11-27
  • Contact: Huang Hesong

Abstract:

To address the mismatch between existing natural language interaction frameworks and training tasks in simulation-based military training, which limits smooth interaction between trainees and Computer Generated Forces (CGF), this paper proposes a Natural Language Interaction framework for Computer Generated Forces (NLI4CGF). The framework analyzes the logic and functional requirements of natural language interaction between trainees and CGF, and establishes an interaction architecture tailored for military simulation training scenarios. It supports semantic parsing and knowledge query tasks within a prototype system developed for infantry squad simulation training. Experimental results demonstrate that the proposed model performs effectively, meets the requirements of infantry training, and significantly enhances the trainee's interactive experience.

Key words: simulation-based military training, computer generated forces(CGF), natural language interaction, natural language processing, semantic parsing, knowledge querying

CLC Number: