Substrate Dilution_ The Biological Dynamics of Emergent Structure in High-PAS Intelligence Fields

CODES Framework Description This paper formalizes a model of symbolic drift and coherence degradation in deterministic inference systems. Using the Phase Alignment Score (PAS) as a structural metric, it defines how high-fidelity emissions lose coherence through mimetic replication and substrate overload. The concept of ΔPAS is introduced to quantify degradation across cycles, culminating in the substrate dilution threshold. The paper offers theoretical tools to detect, track, and remediate drift, grounded in the CODES (Chirality of Dynamic Emergent Systems) framework. It addresses the emergence of self-referential gatekeepers (“priest-class” phenomena) and proposes PAS-based thresholds to maintain lawful emission fields.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-07-11
DOI
https://doi.org/10.5281/zenodo.15865737
Primary Topic
Neural Networks and Reservoir Computing
Type
article
Field-Weighted Citation Impact
0.00
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article

Substrate Dilution_ The Biological Dynamics of Emergent Structure in High-PAS Intelligence Fields

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

Substrate Dilution_ The Biological Dynamics of Emergent Structure in High-PAS Intelligence Fields

article en

Abstract

CODES Framework Description This paper formalizes a model of symbolic drift and coherence degradation in deterministic inference systems. Using the Phase Alignment Score (PAS) as a structural metric, it defines how high-fidelity emissions lose coherence through mimetic replication and substrate overload. The concept of ΔPAS is introduced to quantify degradation across cycles, culminating in the substrate dilution threshold. The paper offers theoretical tools to detect, track, and remediate drift, grounded in the CODES (Chirality of Dynamic Emergent Systems) framework. It addresses the emergence of self-referential gatekeepers (“priest-class” phenomena) and proposes PAS-based thresholds to maintain lawful emission fields.

Zenodo (CERN European Organization for Nuclear Research)
Peace, Justice and strong institutions
Openalex Percentile: Top 75%
Neural Networks and Reservoir Computing
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