Reparodynamics: The Convergence Field of Self Repair Across Domains

Reparodynamics defines the measurable science of adaptive self-repair across natural and artificial systems. It introduces the Repair Yield per Energy (RYE) efficiency law and the Targeted Gradient Repair Mechanism (TGRM), uniting biology, AI, and robotics under a shared framework of sustainable discovery. This edition presents convergence evidence showing that long-run AI systems (such as Edison) now exhibit self-repairing dynamics that validate the Reparodynamics model. The work outlines the five universal laws of self-repair and proposes RYE as a new benchmark for sustained stability and innovation.