Set‑Generative AI: Braid Dynamics and Learning Phases

This paper presents a set‑generative AI model where braid dynamics on four‑component states produce distinct learning phases. The framework integrates double figure‑eight generation, non‑commutative propagation, and spectral regimes enabling coordination, pruning, exploration, and chaotic behavior.

Authors

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-09-11
DOI
https://doi.org/10.5281/zenodo.22698272
Primary Topic
Neural Networks and Reservoir Computing
Type
article
Field-Weighted Citation Impact
0.00
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article

Set‑Generative AI: Braid Dynamics and Learning Phases

Shin Tamaki
Zenodo (CERN European Organization for Nuclear Research)
Neural Networks and Reservoir Computing
article

Set‑Generative AI: Braid Dynamics and Learning Phases

Shin Tamaki
article en

Abstract

This paper presents a set‑generative AI model where braid dynamics on four‑component states produce distinct learning phases. The framework integrates double figure‑eight generation, non‑commutative propagation, and spectral regimes enabling coordination, pruning, exploration, and chaotic behavior.

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 8%
Neural Networks and Reservoir Computing
DOIOpen Access PDFOpenAlex
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