tegwick
ffff0b3a3c
- gsa.py: any model (--model), parallel (--jobs), channel counters recalibrated per sample; reproduces the GADM-0.2 analysis exactly - GADM-0.4: additive at baseline, but governance levers (m, L, r_lin) interact strongly in the generative regime; commons investment now the top baseline driver; organism capability level confirmed as top uncertainty; explainability gains weight via power channels Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com> Assistant: claude-code Assistant-Model: opus Assistant-Process: 1494246@bnt-lap001 Assistant-Session: caf6de6f-f9e4-47ce-a584-49baa271fa4b |
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|---|---|---|
| .. | ||
| gadm02 | ||
| README.md | ||
Simulations
Runnable implementations of the models in models/. Each simulation names the
model version it implements.
| Directory | Model | Entry points |
|---|---|---|
gadm02/ |
GADM-0.2 (models/GADM-0.2.md) |
run_scenarios.py, sensitivity.py, gsa.py, test_gadm02.py |
gadm02/gadm03.py |
GADM-0.3: power channels, wealth, attention (models/GADM-0.3.md) |
power_channels.py, wealth.py, organism_grid.py, test_gadm03.py |
gadm02/gadm03c.py |
GADM-0.3 with life-cycle cohorts (models/GADM-0.3.md § 5) |
life_cycle.py, test_gadm03c.py |
gadm02/gadm04.py |
GADM-0.4 (in development): durable capability (models/GADM-0.4.md) |
life_cycle.py --model gadm04, robustness.py, test_gadm04.py |
Python 3.10+, standard library only. Use python3 -B after quick edits: a stale
bytecode cache can mask same-size changes made within the same second.
python3 -m unittest discover -s simulations/gadm02 # tests
cd simulations/gadm02 && python3 run_scenarios.py # → results/summary.md + CSVs
cd simulations/gadm02 && python3 sensitivity.py # → results/sensitivity.md
cd simulations/gadm02 && python3 -B gsa.py --jobs 8 # → results/gsa.md (--model gadm04 → gsa_gadm04.md; --quick)
Results under results/ are committed so that model documents can cite them.
Regenerate them after any change to the model or the scenarios.