Emergence via Phase Transitions: Mechanism Landscapes and Universal Convergence Across Complex Systems

This research introduces the Hierarchical Emergence Framework (HEF) to explain universal convergence across complex systems in machine learning, biology, and physics. HEF models emergence as a phase transition, leading to a unique minimum-cost mechanism and proving convergence towards a fixed-point.