When No Agent Can See the Whole System
A group of agents can coordinate successfully without any member possessing a complete picture of the system in which it acts. This essay examines the gap between collective performance and collective understanding. Through a search and rescue thought experiment, it argues that more agents do not automatically create more knowledge when their observations share the same blind spots. Distributed intelligence becomes epistemically stronger only when it preserves dissenting local models, records discarded possibilities, tests system boundaries, and creates routes for genuinely new evidence to enter. The central question is not whether a network can produce coherent behavior, but whether it can detect what its own architecture prevents it from seeing.





