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self-organized-criticality

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Which dynamical regime is beneficial for biological systems in the context of the criticality hypothesis? Agent-based evolutionary foraging game with experiments to evaluate generalizability, ability to perform complex tasks and evolvability of agents with respect to their dynamical regime. Paper: https://arxiv.org/abs/2103.12184

  • Updated May 6, 2021
  • Python

Paper: https://doi.org/10.1162/isal_a_00412 Which dynamical regime is beneficial for biological systems? Agent-based evolutionary foraging game with experiments to evaluate generalizability, ability to perform complex tasks and evolvability.

  • Updated Nov 10, 2021
  • Python

Reproducible R & Python workflow for fractal analysis of seismicity: box-counting (D0) and correlation (D2) dimensions, fault-network dimension, and maximum-likelihood Gutenberg–Richter b-value, with Mc selection and Gardner–Knopoff declustering. Case study: Marmara region, North Anatolian Fault Zone.

  • Updated Aug 22, 2026
  • Python

Implémentation du Protocole Lichen (TU-HEC) : Une architecture d'alignement pour l'IA basée sur la thermodynamique, la trigonométrie vectorielle (MAC) et les attracteurs harmoniques ($\phi$). Vers une homéostasie éthique computationnelle

  • Updated Jan 15, 2026

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