tegwick
ee7b17da5e
- dO grounded at 0.20/yr (software, R&D capital, AI hardware evidence); investment/learning rescaled so the baseline organism path is unchanged - robustness.py: key readings hold for grounded dO and brackets on channel self-reinforcement and wealth conversion; P3 effect size grows at strong self-reinforcement - models/ParameterGrounding.md: register of grounded / bracketed / assumed / calibrated parameters, open grounding needs 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 gsa.py # → results/gsa.md (~5 min; --quick)
Results under results/ are committed so that model documents can cite them.
Regenerate them after any change to the model or the scenarios.