Journal of System Simulation
Abstract
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.
Recommended Citation
Li, Xinmeng; Xu, Kai; Hu, Yue; Huang, Hesong; and Yin, Quanjun
(2025)
"Research on CGF-oriented Natural Language Interaction Framework,"
Journal of System Simulation: Vol. 37:
Iss.
11, Article 13.
DOI: 10.16182/j.issn1004731x.joss.24-0921
Available at:
https://dc-china-simulation.researchcommons.org/journal/vol37/iss11/13
First Page
2853
Last Page
2866
CLC
TP391.9
Recommended Citation
Li Xinmeng, Xu Kai, Hu Yue, et al. Research on CGF-oriented Natural Language Interaction Framework[J]. Journal of System Simulation, 2025, 37(11): 2853-2866.
DOI
10.16182/j.issn1004731x.joss.24-0921
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