GenesisAeon/utac-core: The Mathematical UTAC Logistic Core
Abstract
UTAC-Logistic σ(β(R−Θ)) with symbolic SymPy + NumPy fitting • Frame-Principle σ_Φ ≈ 0.0625 + v_RIG recursive growth • CLI utac fit, utac rig, utac frame-principle • Docs + api.md + mkdocs --strict clean • 99 % Coverage-ready, ruff grün • [stack] extra für vollen GenesisAeon-Stack The precise threshold of emergence is now modular and citable.
Fields of Study & Subjects
Complex Systems and Dynamics
Computational Physics and Python Applications
Neural Networks and Applications
Publication details
- Journal / source
- Zenodo (CERN European Organization for Nuclear Research)
- Publication date
- 16 March 2026
- Language
- EN