Orientation Under Constraint: Reproducibility Package
Year: 2026
Type: software
Abstract: This archive contains the complete computational reproducibility materials supporting the manuscript Orientation Under Constraint: Directional Dynamics of Regulatory Capacity in Complex Systems. The package contains two executable Python implementations. ouc_reproducibility.py reproduces the core aggregate and path-space analyses and Figures 2–4. ouc_complexity_extensions.py reproduces the phase portraits and parameter-space maps, nonlinear saturation analyses, saddle-node bifurcation and basin calculations, heterogeneous multi-system transfer simulations, common-field convergence analyses, and Figures 5–8. The archive includes fixed random seeds, software requirements, parameter specifications, raw and summary machine-readable CSV outputs, phase/regime maps, nonlinear bifurcation and basin outputs, matched-performance results, convergence curves, and high-resolution figure files. The supplied README gives the exact commands required to regenerate the reported results. All numerical results are synthetic computational demonstrations rather than empirical estimates. No human or animal data were collected or analysed. Verified computational environment: Python 3.13.5; NumPy 2.3.5; pandas 2.2.3; Matplotlib 3.10.8; SciPy 1.17.0. Fixed seeds: 20260720 for the core model and 20260824 for the nonlinear and multi-system extensions.
Author: Bryan, Daniel
Language: English
Topic: Complex Systems and Dynamics
Subfield: Statistical and Nonlinear Physics
Field: Physics and Astronomy
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W7204275004