Traditional multi-agent systems often rely on a central manager to delegate tasks, which can become a bottleneck as more agents are added. By drawing inspiration from ant colonies, a novel approach allows agents to operate without direct communication, instead responding to "pressure" signals from a shared environment. This method enables agents to propose changes to reduce local pressure, with coordination emerging naturally from the environment rather than through direct orchestration. Initial experiments using this approach show promising scalability, with linear performance improvements until input/output bottlenecks are reached, and no inter-agent communication required. This matters because it offers a scalable and efficient alternative to traditional multi-agent systems, potentially improving performance in complex tasks without centralized control.
