tegwick
7707657464
- aext recalibrated to 0.275 against ATUS and social-media time-use data; baseline attention headroom now ~0.49 instead of rising to 0.65 - T03/T04 stages stay reproducible (t03_params, t04_params; verified) - organism_grid.py: factorial analysis; lineage ownership is the strongest organism lever, then membrane control, then attention protection (which acts on A, not on power); lineage x membrane complementary at baseline; organism governance without attention protection raises attention draw 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
63 lines
2.6 KiB
Python
63 lines
2.6 KiB
Python
"""Hypothesis P3 and scenario table for GADM-0.3 with wealth separated from power.
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P3: wealth taxation alone does not bound domination P when the membrane
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channel dominates. Test: sweep the wealth-tax lever wtax in [0, 1] in three
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settings and compare wealth W with the channels it can and cannot reach.
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Runs the T04 stage (gadm03.t04_params(): attention extraction as in GADM-0.2)
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so the results in models/GADM-0.3.md § 3 stay reproducible after T05.
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Usage: python3 -B simulations/gadm02/wealth.py
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"""
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from __future__ import annotations
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import sys
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from pathlib import Path
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sys.dont_write_bytecode = True
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import gadm03 as g # noqa: E402
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from scenarios import load_all # noqa: E402
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OUT = Path(__file__).resolve().parent / "results"
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TAX = [0.0, 0.25, 0.5, 0.75, 1.0]
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CASES = [
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("baseline", "Baseline"),
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("generative_concentrated_lineages", "Membrane/lineage-dominated (generative, concentrated lineages)"),
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("automated_capitalism", "Wealth-heavy contrast (automated capitalism)"),
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]
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def main() -> None:
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OUT.mkdir(exist_ok=True)
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scs = load_all()
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lines = [f"# {g.MODEL_VERSION} + wealth: hypothesis P3 and scenarios", "",
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"Generated by `simulations/gadm02/wealth.py`. T04 stage of GADM-0.3 (wealth on,",
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"GADM-0.2 attention extraction).",
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"Final values at t = 100 years.", "",
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"## P3: wealth tax sweep", ""]
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for name, title in CASES:
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sc = scs[name]
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lines += [f"### {title}", "",
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"| wtax | W | market | political | membrane | lineage | P | VFAC |",
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"|---|---|---|---|---|---|---|---|"]
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for t in TAX:
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r = g.simulate({**sc["params"], **g.t04_params(), "wtax": t}, sc["init"])[-1]
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lines.append(f"| {t:.2f} | {r['W']:.2f} | {r['Pm']:.2f} | {r['Ppol']:.2f} | "
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f"{r['Pmem']:.2f} | {r['Plin']:.2f} | {r['P']:.2f} | {r['VFAC']:.3f} |")
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lines.append("")
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lines += ["## Scenarios: T03 stage vs. with wealth", "",
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"| Scenario | P (T03) | P (+wealth) | W | market | political | VFAC (T03) | VFAC (+wealth) |",
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"|---|---|---|---|---|---|---|---|"]
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for name, sc in scs.items():
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a = g.simulate({**sc["params"], **g.t03_params()}, sc["init"])[-1]
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b = g.simulate({**sc["params"], **g.t04_params()}, sc["init"])[-1]
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lines.append(f"| {sc['title']} | {a['P']:.2f} | {b['P']:.2f} | {b['W']:.2f} | {b['Pm']:.2f} | "
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f"{b['Ppol']:.2f} | {a['VFAC']:.3f} | {b['VFAC']:.3f} |")
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(OUT / "wealth.md").write_text("\n".join(lines) + "\n")
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print("\n".join(lines))
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if __name__ == "__main__":
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main()
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