What question did this study set out to answer?

The aim is to resolve human capacity limitations using a non-linear optimization framework.

April 1, 20260 citationsOpen Access

ACO: Actual Capacity Optimization Framework for Human-Systems Architecture

NNNgoc Truc NguyenNational School of Architecture

Key Points

The aim is to resolve human capacity limitations using a non-linear optimization framework.
Developed a non-linear optimization model with key mathematical components.
Identified intrinsic capacity limits and performance scaling factors.
Analyzed the impacts of energy leakages and structural limits on efficiency.
The model indicates performance can scale effectively without exceeding structural limits.
Systemic efficiency is improved by minimizing energy leakages.
A reinforcement limit ensures that the actual performance does not surpass twice the baseline capacity.

Abstract

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

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Cite This Study

Ngoc Truc Nguyen (Mon,) studied this question.

synapsesocial.com/papers/69ccb6e416edfba7beb88a7f https://doi.org/https://doi.org/10.5281/zenodo.19325369

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