The Awareness Framework

Computational Implementation

Download the Python scripts implementing the five layers (L1-L5) of The Awareness Framework, formalizing R = O.M.P into a falsifiable model.

1. Download All Files

framework_utils.py

Core ODEs and Utilities

run_full_pipeline.py

The main script to run L1-L5

sim_core_dynamics.py

L1: Awareness time-series

sim_energy_balance.py

L2: Energy and Entropy

sim_spatial_field.py

L3: Spatial diffusion/coupling

sim_temporal_hierarchy.py

L4: Temporal frequency analysis

sim_integrated_system.py

L5: Integrated Efficiency/Plotting

Action: Click the link to download.

2. How to Run the Full Pipeline

  1. Prerequisites: Ensure you have Python installed (version 3.6+). The scripts rely on common scientific libraries.
  2. Install Dependencies: Open your terminal or command prompt, navigate to the directory where you saved the files, and install the required packages.
    pip install numpy pandas scipy matplotlib seaborn tqdm
  3. Download and Place Files: Download all 7 Python files listed above and place them into a single folder.
  4. Execute the Pipeline: The `run_full_pipeline.py` script orchestrates the execution of all five layers (L1 through L5) in the correct order.
    python run_full_pipeline.py

    This will automatically generate intermediate CSV and NPY files for each layer and create the final plots in a new folder named `romp_final_plots`.

  5. View Results: After the script completes, check the `romp_final_plots` directory for the resulting figures that illustrate the core dynamics, energy balance, spatial evolution, and efficiency metrics.