The world is running on legacy code. From social networks to financial systems, we see a recurring bug: The Winner-Take-All Entropy. When one node dominates, the system loses its equilibrium.
I realized we didn't need to "fight" the system; we needed to patch it. I developed Universal Process Theory (UPT) and its core engine: the $Q_e$ Efficiency Governor.
The Math behind the Patch
Instead of rigid control, UPT uses Eigenvector Centrality to measure node influence in real-time. The formula is:
$$Q_e = 1 - \frac{|\lambda_i - \bar{\lambda}|}{\sum \lambda_j}$$
When $Q_e$ drops, it means a node is becoming too central (High Entropy). The governor then triggers a Resonance Correction, redistributing the processing potential back into the mesh.
See it in Action
I've just open-sourced the Python simulation for this. It demonstrates how the system detects an 'Entropy Spike' from a dominant node and applies dampening to restore balance.
Check the Source & Run the Simulation:
👉 https://github.com/Join-boy555/UPT-The-Continuum.git
We are moving from Monopoly to Resonance. The Continuum is Ready.
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