Deep Dive: agent reflection

Reflection is the mechanism by which a system improves without being redesigned. In reinforcement learning, it is the update step. In cognitive science, it is

Deep Dive: agent-router

The most consequential design decision in a multi-agent system has nothing to do with agents. It's the communication substrate — the thing that sits