The Moderator Mechanism: A Novel Design in Distributed Multi-Agent Large Language Models

This paper presents a novel Moderator Mechanism for distributed multi-agent systems in complex adversarial environments, addressing persistent coordination challenges arising from communication constraints and observational disparities. Unlike conventional decentralized or hierarchical architectures, our event-triggered Moderator Mechanism operates on a "normally dormant, intervention-on-demand" principle, preserving agent autonomy while dynamically resolving high-conflict scenarios through lightweight yet strategic interventions. Experimental validation in StarCraft asymmetric combat demonstrates the framework’s superiority: it achieves a 1.41 optimal efficiency ratio (OER) by harmonizing decentralized decision-making with just-in-time coordination, outperforming both layered (0% victory points) and decentralized (30% VP) baselines. Key innovations include intelligent conflict detection and minimal-intervention protocols that break decision deadlocks—exemplified by scenarios where targeted moderator mechanism directives (e.g., "CG2: Support Colossus at [coordinates]") transform suboptimal retreat loops into tactical victories. The results establish that this hybrid paradigm optimally balances real-time responsiveness, adaptability, and communication efficiency, offering a scalable solution for mission-critical multi-agent systems.