arXiv paper models role differentiation in agent populations as an information engine

A new arXiv preprint proposes designing collective information engines that are organized by differentiation rather than by consensus. The authors construct a minimal example showing how distinct roles can emerge within a population of agents and drive collective behavior in informational active matter. The work sits at the intersection of active matter physics and multi-agent systems research.