Abstract: Chain-of-Thought(CoT) is a prompt engineering technique whose core connotation lies in guiding large language mo-dels to generate intermediate reasoning steps by designing simple prompts or elaborately constructing reasoning logic combined with domain knowledge,thereby better solving complex problems.Currently,CoT has demonstrated remarkable effectiveness in complex reasoning tasks.In highly refined military domains such as command decision-making and operational planning,it is necessary to carefully design CoT to simulate the procedural steps and reasoning logic of human commanders in formulating opera-tional plans.This study describes the commander’s thinking process,including judging superior intentions,analyzing the battlefield environment,and conducting operational planning,and constructs a commander’s thinking map model.Based on this model,a two-way CoT model for operational plan generation and optimization is established:the creative CoT is responsible for generating operational plans,while the critical CoT is dedicated to threat and risk analysis,optimization,and adjustment of the generated plans.The models constructed in this research lay a theoretical foundation for subsequent studies on guiding large language models to generate operational action plans using CoT.

Key words: Large language model, Chain-of-Thought, Operational planning, Combat operations, Commander’s thinking map