abundance_h_simulation.py: Agent-Based #H Simulation for the Completed Abundance Economy

Agent-based simulation code (Python + interactive Google Colab notebook) for the number of future histories (#H) in the Completed Abundance Economy.

The script demonstrates the combinatorial explosion of #H once the five-element Tech Stack (AI/AGI/ASI + Robotics + Fusion/Dyson swarms + Reusable Launch Vehicles + Mystical Practice) removes scarcity. It includes interdependent inventories, trades via exchange tensors, and AI/ASI nodes dynamically creating new goods each step.

Used in the paper: 

"Quantifying the Abundance Economy: From Ordinal Utility to Cardinal Possibilities in the Homo Novus Transition" by LD Waford (https://doi.org/10.5281/zenodo.19436946).

Code developed in collaboration with Grok, an AI built by xAI. 

The simulation reproduces #H values in the 10^{30}–10^{40}+ range exactly as described in the paper.

One-click interactive version: 

https://colab.research.google.com/drive/18_vmEp-oIpL_DnP8iVA1NA8rPnYhosn3?usp=sharing

Also includes the Python code for the toy models and the real-world baseline estimates.

License: MIT