The RIC Vision Paper_When Humanity First Sees Its Own Structure Clearly

Abstract Human reasoning and memory depend on maintaining coherence across time: the ability to keep identity stable, reduce drift, and preserve structure as experiences accumulate. Modern information environments amplify drift and fragment continuity, but the underlying cause is architectural rather than psychological. This paper introduces a framework for understanding coherence as a structural property of cognition and describes a substrate designed to maintain continuous, deterministic organization of thought. Rather than competing with machine-learning systems or probabilistic models, the framework focuses on stability, recurrence, and lawful memory—closer to how natural systems maintain cycles and rhythms than to how predictive systems operate. The aim is to clarify why coherence fails, how it can be restored, and what cognitive architectures look like when drift is controlled. This paper provides the conceptual groundwork for systems that maintain long-term identity and reasoning stability without relying on statistical inference.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-12-11
DOI
https://doi.org/10.5281/zenodo.17902229
Primary Topic
Embodied and Extended Cognition
Type
article
Field-Weighted Citation Impact
0.00
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article

The RIC Vision Paper_When Humanity First Sees Its Own Structure Clearly

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

The RIC Vision Paper_When Humanity First Sees Its Own Structure Clearly

article en

Abstract

Abstract Human reasoning and memory depend on maintaining coherence across time: the ability to keep identity stable, reduce drift, and preserve structure as experiences accumulate. Modern information environments amplify drift and fragment continuity, but the underlying cause is architectural rather than psychological. This paper introduces a framework for understanding coherence as a structural property of cognition and describes a substrate designed to maintain continuous, deterministic organization of thought. Rather than competing with machine-learning systems or probabilistic models, the framework focuses on stability, recurrence, and lawful memory—closer to how natural systems maintain cycles and rhythms than to how predictive systems operate. The aim is to clarify why coherence fails, how it can be restored, and what cognitive architectures look like when drift is controlled. This paper provides the conceptual groundwork for systems that maintain long-term identity and reasoning stability without relying on statistical inference.

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 36%
Embodied and Extended Cognition
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