A LLM-Based Simulation Scenario Aided Generation Method
Junfeng Zhang, Yang Zhang, Minnan Chu, Shun Yang, Taolei Zu · 2023
In the simulation training system, the generation of simulation scenarios is a basic problem that needs to be studied. Firstly, expounds on the technical characteristics of LLM and knowledge graph; then structurally describe the simulation scenario related content, and build scenario knowledge graph; according to the characteristics of scenario aided generation, a simulation scenario generation method based on LLM is proposed, which uses prompt to fuse knowledge graph and LLM, next, the implementation steps of this method were elaborated; finally, the specific application proves that the method proposed in this paper is a good reference for the generation of simulation scenarios.