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Promise Physarum

Data-driven slime mold simulation where Lindblad parameters from institutional and biological systems drive organism behavior.

8 organisms. 1 equation.

Each dish contains a slime mold simulation driven by real data. The top row is colored and pulsing — these are cooperative systems where Drift Rate (γ_dec) > 0. The bottom row is grey and inert — Theater, where Drift Rate = 0.

A mushroom and the International Monetary Fund grow the same way.

Features

The Microscope

Zoom from colony (1×) to individual promises (25×) to the quantum state inside each cell (100×). At maximum zoom you can see the Autonomy Fraction: 75% of each cell is autonomous, 25% is structurally coupled.

Live Parameters

Drag the Drift Rate slider to zero and watch a cooperative organism go grey. That's the cooperation diagnostic in real time.

The Glossary

Every parameter has three names: physics notation for papers, Promise Names for humans, and plain descriptions for everyone. Press ? to see them all.

Run it yourself

Requires Python 3.10+ and PyGame 2.5+.

git clone https://github.com/koda-wzkp/promise-physarum.git
cd promise-physarum
pip install -r requirements-physarum.txt
python3 promise_physarum.py --all --scale 3