Definition
A way of building multi-agent AI systems where the agents are positions in a graph that get trained jointly.
A framework treating multi-agent LLM systems as neural-network-like graphs of role-free nodes trained jointly via REINFORCE on a final reward, with progressive growth used to scale topology without retraining from scratch.