SAEE: A Frozen Empirical Phase Space Object for Convergent Computational Evolutionary Dynamics

SAEE is presented here as a frozen empirical phase space object derived from a constrained computational evolutionary system exhibiting strong attractor convergence and bounded diversity under fixed kernel conditions. This definition-only package publishes the public scientific definition, aggregate observational summaries, phase-space findings, and falsifiable candidate laws. It intentionally excludes executable code, runtime logic, kernel structure, mutation, selection, fitness, lineage internals, and private implementation details.

Authors

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-07-02
DOI
https://doi.org/10.5281/zenodo.21135472
Primary Topic
Evolutionary Algorithms and Applications
Type
preprint
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preprint

SAEE: A Frozen Empirical Phase Space Object for Convergent Computational Evolutionary Dynamics

Bin Zhang
Zenodo (CERN European Organization for Nuclear Research)
Evolutionary Algorithms and Applications
preprint

SAEE: A Frozen Empirical Phase Space Object for Convergent Computational Evolutionary Dynamics

Bin Zhang
preprint en

Abstract

SAEE is presented here as a frozen empirical phase space object derived from a constrained computational evolutionary system exhibiting strong attractor convergence and bounded diversity under fixed kernel conditions. This definition-only package publishes the public scientific definition, aggregate observational summaries, phase-space findings, and falsifiable candidate laws. It intentionally excludes executable code, runtime logic, kernel structure, mutation, selection, fitness, lineage internals, and private implementation details.

Zenodo (CERN European Organization for Nuclear Research)
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Evolutionary Algorithms and Applications
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SAEE: A Frozen Empirical Phase Space Object for Convergent Computational Evolutionary Dynamics — Bin Zhang · Zenodo (CERN European Organization for Nuclear Research) (2026) | TGRS Research Map | TGRS