Conceptualizing LLM-Based Cognitive Chains for Intelligent Command-and-Control Applications

Abstract

This study responds to the practical need for applying large language models (LLMs) to military command-and-control (C2) tasks and proposes a new reference model for constructing and integrating cognitive chains. The aim is to provide methodological guidance and developmental pathways for next-generation intelligent C2 information systems. First, based on the current development status and application practices of LLM technologies, the paper analyzes the major challenges that arise in military scenarios and the corresponding approaches for addressing them. Then, it introduces a technical roadmap for enabling intelligent command entities through LLMs and derives a scenario-driven mechanism that supports multi-agent organizational operations and capability formation. Finally, it examines the concept and technical foundation of cognitive chains in depth and presents an application vision for a “four-chain-fusion” LLM-empowered C2 system.