D_Applied RAG-RES Operational Framework

This document formalizes the operational layer of the CBD-RAG-RES framework by translating collective stability laws into engineering protocols for dialogic systems. It defines a multi-modular architecture based on continuous monitoring of structural observables, including dialogic distance, propagation intensity, saturation, structural load, and coherence. The system maintains governability through propagation regulation and endogenous stabilization mechanisms that control accumulation and prevent critical regime transitions. Adaptive governance mechanisms dynamically adjust thresholds and constraints in response to environmental variations. The Goldilocks zone is operationalized as a stability attractor maintained through feedback control. The framework operationalizes key CBD laws such as mimetic saturation, temporal governability, and conditional reversibility. It provides a direct bridge between theoretical CBD principles and practical implementation within ECA-based artificial intelligence systems.

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Publication Details

Journal
SPIRE - Sciences Po Institutional REpository
Published
2026-03-17
DOI
https://doi.org/10.5281/zenodo.19059169
Primary Topic
Control and Stability of Dynamical Systems
Type
article
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article

D_Applied RAG-RES Operational Framework

Wilson John Sterking LAURET
SPIRE - Sciences Po Institutional REpository
Control and Stability of Dynamical Systems
article

D_Applied RAG-RES Operational Framework

Wilson John Sterking LAURET
article en

Abstract

This document formalizes the operational layer of the CBD-RAG-RES framework by translating collective stability laws into engineering protocols for dialogic systems. It defines a multi-modular architecture based on continuous monitoring of structural observables, including dialogic distance, propagation intensity, saturation, structural load, and coherence. The system maintains governability through propagation regulation and endogenous stabilization mechanisms that control accumulation and prevent critical regime transitions. Adaptive governance mechanisms dynamically adjust thresholds and constraints in response to environmental variations. The Goldilocks zone is operationalized as a stability attractor maintained through feedback control. The framework operationalizes key CBD laws such as mimetic saturation, temporal governability, and conditional reversibility. It provides a direct bridge between theoretical CBD principles and practical implementation within ECA-based artificial intelligence systems.

SPIRE - Sciences Po Institutional REpository
Openalex Percentile: Top 19%
Control and Stability of Dynamical Systems
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