Abstract
An intelligent generation method of simulation scenario based on KG(knowledge graph) is designed and implemented. The KG is constructed by linking multi-source simulation model entities with global features based on RL(reinforcement learning). An entity alignment algorithm suitable for simulation model matching and a script generation method based on DOM are designed to realize intelligent generation of simulation scenarios. Finally, taking the "multi-dimension projection" action as an example, the simulation scenario is generated and the simulation system is driven to run according to the scheduled action sequence, which verifies the effectiveness of this method.
Sign-in/Register to access full text options 
Free) 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
