entropy-governance 0.1.0

Entropy-Governance Duality framework: S∝A (action-governed) vs S∝V (volume-governed), entropic pricing, CREP and Tesseract time-slices.

entropy-governance

Entropy-Governance Duality framework — S∝A (action-governed) vs. S∝V (volume-governed), entropic pricing, CREP and Tesseract time-slices. Direct bridge to entropy-table and optional fractal integration with implosive-genesis.

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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.

API

from entropy_governance import entropy_price, crep, duality_factor, TesseractSlice, EntropyTableBridge
import numpy as np

# Entropic price
p = entropy_price(delta_s=2.0, delta_t=1.0, kappa=1.5)

# CREP over a simulation run
t = np.linspace(0, 10, 1000)
ds_dt = np.sin(t) * 0.5
c = crep(t, ds_dt, s_max=10.0)

# Tesseract slices
ts = TesseractSlice(dt=0.1)
slices = ts.slice(t_start=0.0, n_steps=4)

# entropy-table bridge
bridge = EntropyTableBridge(domain="governance")
bridge.add_relation("S_A", 0.618)
bridge.add_relation("S_V", 1.618)
bridge.export("domains.yaml")

Development

uv sync --dev
pre-commit install
uv run pytest          # runs with coverage report
uv run ruff check .

Citation

If you use entropy-governance in academic work, please cite:

GenesisAeon Team. (2026). entropy-governance: Entropy-Governance Duality (v0.1.0) [Software].
Zenodo. https://doi.org/10.5281/zenodo.18962979

DOI: 10.5281/zenodo.18962979 PyPI: pip install entropy-governance==0.1.0

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Changelog

See CHANGELOG.md for the full release history.

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