Research on Architecture and Technology Pathways for Empowering Tactical AdversarialSimulation Experiments with LLMs

Tactical confrontation simulation experiments are the core means of operational analysis,simulation training,and equipment activities based on simulation,and their levels of intelligence and automation directly impact the effectiveness of experiments and the generation of combat capabilities.To address the low efficiency issues in experimental design,model construction,scenario control,and human-computer interaction in traditional simulation experiments,a system architecture for empowering tactical confrontation simulation experiments with large language models is proposed,referencing the MCP protocol.This architecture consists of five layers:the foundation layer,tool resource layer,AI agent layer,empowerment path layer,and application layer.The five-layer architecture is guided top-down and integrated bottom-up layer by layer,enabling the coupling and aggregation of large and small models with data resources and traditional small models,and empowering various military activities based on simulation.Based on this,the specific paths of large model empowerment in tactical confrontation simulation are discussed in detail:large model empowerment in simulation experiment design,large model empowerment in decision-making model construction,and large model empowerment in scenario control.Finally,the challenges and countermeasures are analyzed.