Structural Maintenance and Cognitive Aging

Structural Maintenance and Cognitive Aging develops a structural model of cognitive aging in which decline is driven not by biological inevitability but by the loss of pattern resolution under sustained noise. The paper argues that cognitive longevity depends on three interacting structural factors: attention stability, which governs the system’s ability to perform coherent updates; environmental coherence, which determines the level of external noise imposed on the operator stack; and repair mechanisms such as sleep, reflection, meaning‑making, and identity continuity, which restore resolution after degradation. The model distinguishes between legitimate attractors—developmental, skill‑building, and meaning‑generating patterns that reinforce coherence—and illegitimate attractors, which fragment attention and accelerate resolution loss. By situating cognitive aging within a broader ontology of pattern maintenance, the paper reframes decline as a structurally preventable phenomenon, dependent on the design of environments and attention architectures that preserve resolution across the lifespan.

Authors

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-06-28
DOI
https://doi.org/10.5281/zenodo.21010908
Primary Topic
Aging and Gerontology Research
Type
preprint
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preprint

Structural Maintenance and Cognitive Aging

Denis Bailey
Zenodo (CERN European Organization for Nuclear Research)
Aging and Gerontology Research
preprint

Structural Maintenance and Cognitive Aging

Denis Bailey
preprint en

Abstract

Structural Maintenance and Cognitive Aging develops a structural model of cognitive aging in which decline is driven not by biological inevitability but by the loss of pattern resolution under sustained noise. The paper argues that cognitive longevity depends on three interacting structural factors: attention stability, which governs the system’s ability to perform coherent updates; environmental coherence, which determines the level of external noise imposed on the operator stack; and repair mechanisms such as sleep, reflection, meaning‑making, and identity continuity, which restore resolution after degradation. The model distinguishes between legitimate attractors—developmental, skill‑building, and meaning‑generating patterns that reinforce coherence—and illegitimate attractors, which fragment attention and accelerate resolution loss. By situating cognitive aging within a broader ontology of pattern maintenance, the paper reframes decline as a structurally preventable phenomenon, dependent on the design of environments and attention architectures that preserve resolution across the lifespan.

Zenodo (CERN European Organization for Nuclear Research)
Aging and Gerontology Research
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Structural Maintenance and Cognitive Aging — Denis Bailey · Zenodo (CERN European Organization for Nuclear Research) (2026) | TGRS Research Map | TGRS