GenesisAeon/entropy-governance: entropy-governance
Abstract
Entropy-Governance Duality framework: S∝A (action-governed) vs S∝V (volume-governed), entropic pricing, CREP and Tesseract time-slices. Install pip install entropy-governance or uv add entropy-governance Quickstart Entropic price P_E = (ΔS/Δt)·κ eg entropy-price 2.0 1.0 Governance simulation with Tesseract slices + CREP eg governance-sim --steps 200 --s-max 10.0 Blended duality metric D = α·A + (1−α)·ln(V) eg duality 3.0 2.718281828 --alpha 0.5 Export to entropy-table YAML eg table-export --output domains.yaml Physics S∝A — Action-governed minimal entropy production S(t) = κ · A(t) The entropy is proportional to the integrated action — minimal production regime. S∝V — Volume-governed maximal information entropy S(t) = λ · ln V(t) The entropy scales logarithmically with volume — maximal information regime. Entropic Price P_E = (ΔS / Δt) · κ Rate of entropy change weighted by a coupling constant. CREP — Cumulative Relative Entropy Production CREP = ∫|dS/dt| dt / S_max Dimensionless measure of total entropy production normalised by a reference maximum. Tesseract Time-Slices 4-D hypercube time slices for governance simulation — generates evenly-spaced time arrays with optional chronology validation via implosive-genesis.
Fields of Study & Subjects
Complex Systems and Dynamics
Advanced Thermodynamics and Statistical Mechanics
Complex Systems and Time Series Analysis
Publication details
- Journal / source
- Zenodo (CERN European Organization for Nuclear Research)
- Publication date
- 11 March 2026
- Language
- EN