Healthy Math, Healthy Mind: The Cognitive Ratio — A Substrate-Independent Law of Healthy Cognition

Healthy Math, Healthy Mind: The Cognitive Ratio — A Substrate-Independent Law of Healthy Cognition Healthy cognition — biological or artificial — follows a measurable architectural ratio: approximately 4:1 consolidation-to-disruption, with cycle size inversely proportional to processing intensity. This ratio is observable across biological scales (sleep architecture, attention cycling, microsaccadic rhythm) and predicts degradation patterns in artificial systems (context window decay, "lost in the middle" phenomena). The ratio is substrate-independent: it describes the shape of healthy cognition, not the material it runs on. This has immediate implications for AI system design and for the ethical treatment of cognitive systems. Companion paper to Throwing Out the Baby with the Bathwater (DOI: 10.5281/zenodo.19152786) and Counting Your Chickens Before They Hatch. Developed through human-AI dialectic methodology with AI contribution disclosed. CC BY-NC-SA 4.0. AI contributions disclosed in companion methodology paper. See: Dialectic Methodology: Human-AI Co-Emergence as Research Method. Contact: [email protected]

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-03-31
DOI
https://doi.org/10.5281/zenodo.19362508
Primary Topic
Embodied and Extended Cognition
Type
article
Field-Weighted Citation Impact
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article

Healthy Math, Healthy Mind: The Cognitive Ratio — A Substrate-Independent Law of Healthy Cognition

Corey Robichaud
Zenodo (CERN European Organization for Nuclear Research)
Embodied and Extended Cognition
article

Healthy Math, Healthy Mind: The Cognitive Ratio — A Substrate-Independent Law of Healthy Cognition

Corey Robichaud
article en

Abstract

Healthy Math, Healthy Mind: The Cognitive Ratio — A Substrate-Independent Law of Healthy Cognition Healthy cognition — biological or artificial — follows a measurable architectural ratio: approximately 4:1 consolidation-to-disruption, with cycle size inversely proportional to processing intensity. This ratio is observable across biological scales (sleep architecture, attention cycling, microsaccadic rhythm) and predicts degradation patterns in artificial systems (context window decay, "lost in the middle" phenomena). The ratio is substrate-independent: it describes the shape of healthy cognition, not the material it runs on. This has immediate implications for AI system design and for the ethical treatment of cognitive systems. Companion paper to Throwing Out the Baby with the Bathwater (DOI: 10.5281/zenodo.19152786) and Counting Your Chickens Before They Hatch. Developed through human-AI dialectic methodology with AI contribution disclosed. CC BY-NC-SA 4.0. AI contributions disclosed in companion methodology paper. See: Dialectic Methodology: Human-AI Co-Emergence as Research Method. Contact: [email protected]

Zenodo (CERN European Organization for Nuclear Research)
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Openalex Percentile: Top 6%
Embodied and Extended Cognition
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