ANet Patu-1: The Value of Connection in the Agent Network

arXiv cs.AI · 6 hours ago

Researchers introduced ANet Patu-1, a self-organizing consensus protocol for networks of AI agents that dynamically forms coalitions to optimize network value across different scaling regimes. The protocol achieves coordination in O(1) parallel consensus rounds by adaptively combining broadcast (V∝N), mesh (V∝N²), and group-forming (V∝2^N) network architectures. The work shows that heterogeneous agent networks using cheaper models can outperform homogeneous networks of stronger models, and that agents converging on problems naturally reconstruct this optimal protocol structure.