ACO: Actual Capacity Optimization Framework for Human-Systems Architecture

Research Objective: To solve the paradox of human capacity limits through a non-linear optimization model. Key Mathematical Components: L_{actual): The realized output of a human system. Lrated: The inherent baseline capacity (Biological/Potential). The Reinforcement Factor (α.G + β. E): Synergizing static assets and systemic leverage to scale performance. * The Attenuation Factor (ע. Sloss): Identifying and neutralizing energy leakages caused by external interference and internal friction. Governing Axioms: 1. Reinforcement Limit: Performance scaling is capped at x 2 Lrated to prevent structural collapse. 2. Conservation Priority: Systemic efficiency is fundamentally dependent on the minimization of Sloss