Structural Becoming Science — H3 Simulation

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Main Author: Athmani, Salah
Format: Recurso digital
Published: Zenodo 2026
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author Athmani, Salah
author_facet Athmani, Salah
contents <p>Monte Carlo simulation used to test Hypothesis H3 in the Structural Becoming Science framework.</p> <p>The model compares cascade failure rates between standard networks and networks implementing sovereign suspension mechanisms.</p> <p>The simulation runs 1,000 trials per condition and computes statistical significance, effect size, and cascade reduction metrics.</p>
format Recurso digital
id zenodo_https___doi_org_10_5281_zenodo_18947389
institution Zenodo
language
publishDate 2026
publisher Zenodo
record_format zenodo
spellingShingle Structural Becoming Science — H3 Simulation
Athmani, Salah
complex systems
network dynamics
cascade failure
structural tension
AI systems
<p>Monte Carlo simulation used to test Hypothesis H3 in the Structural Becoming Science framework.</p> <p>The model compares cascade failure rates between standard networks and networks implementing sovereign suspension mechanisms.</p> <p>The simulation runs 1,000 trials per condition and computes statistical significance, effect size, and cascade reduction metrics.</p>
title Structural Becoming Science — H3 Simulation
topic complex systems
network dynamics
cascade failure
structural tension
AI systems
url https://doi.org/10.5281/zenodo.18947389