Multi18

The “multi” prefix in AI often implies flexibility, but most multi-agent systems are tuned for 2–5 specific domains. We ask: Can a single architecture gracefully handle 18 qualitatively different environments without retraining? The number 18 arises naturally in certain industrial settings: 18 major languages, 18 time zones, 18 sub-components of a complex supply chain. We introduce Multi18—a proof-of-concept system where 18 specialized agents share a common communication protocol and a dynamic resource allocation mechanism.

Limitations: Multi18 assumes known domain boundaries and a static set of 18 environments. Extensions to open-ended domains (e.g., new domain appears online) remain future work. multi18

Removing the coordination graph (i.e., independent agents) increased constraint violations to 27.4%, confirming the need for resource-aware arbitration. Reducing the context embedding to 8 dimensions hurt performance in the 10 text-based tasks (drop to 0.71 normalized reward), suggesting that 18 is a meaningful granularity for the tested diversity. The “multi” prefix in AI often implies flexibility,

If your Multi18 system includes Arabic or Hebrew, your frontend design must support RTL layout flipping. Ensure your CSS framework is compatible before investing in translation. Removing the coordination graph (i

Notably, the number 18 is embedded not just as the agent count but also in the dimension of the —an 18-element vector summarizing global system state (one element per domain’s urgency).

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