III_Formalisation Définie du Régime Entropique_MIMETIC_Opérationel_RAG_RES_CBD
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2026
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| _version_ | 1866901187419176960 |
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| author | LAURET, Wilson John Sterking TASSAN, Jean Charles |
| author_facet | LAURET, Wilson John Sterking TASSAN, Jean Charles |
| contents | <p>This document is part of the scientific corpus <strong>“Beyond Generative AI — The Science of Endogenous Stability”</strong>, which establishes a closed theoretical and operational framework for analyzing the stability and governability of complex cognitive and collective systems. It belongs to a series of formal works articulating the integrated framework <strong>{RES = RAG · Crowd-Based Dynamics (CBD) · Bouzid–Tassan Topos (BTT)}</strong>.</p> <p>The present text provides a <strong>definitive formalization of the entropic regime</strong>, clarifying the structural conditions under which a system loses governability due to excessive exogenization. Its objective is not to introduce new theoretical laws, but to consolidate, stabilize, and close the existing framework by specifying variables, analytical limits, and regime boundaries.</p> <h2>Scientific Context</h2> <p>The broader corpus establishes a paradigm shift from performance-oriented generative artificial intelligence toward a structural science of stability grounded in endogenous dynamics. Within this perspective, stability is understood as a conditional state governed by temporal synchronization, accumulation processes, semantic density, and institutional anchoring.</p> <p>Crowd-Based Dynamics provides the macroscopic laws describing accumulation, saturation, and loss of governability, while the RES = RAG paradigm formalizes dialogical temporality and semantic equilibrium. Together with the Bouzid–Tassan Topos, these elements form a unified language for diagnosing stability across artificial, institutional, and collective systems.</p> <h2>Purpose of the Document</h2> <p>The primary aim of this document is to establish a <strong>coherent, hierarchical, and irreversible formalism</strong> of the entropic regime. It resolves conceptual ambiguities and fixes the interpretation of key variables within the closed theoretical corpus.</p> <p>Specifically, the work:</p> <ul> <li> <p>Defines the entropic regime as a state of loss of governability caused by dominance of external pressure over endogenous regulation.</p> </li> <li> <p>Identifies the rate of exogenization as the central structural variable governing the regime.</p> </li> <li> <p>Clarifies the correct analytical neighborhood and distinguishes between structural variables and legitimate development parameters.</p> </li> <li> <p>Establishes the unique small parameter controlling local approximations and formalizes the appropriate development variable.</p> </li> <li> <p>Determines the strictly local status of Taylor expansions and prohibits their interpretation as global structural equalities.</p> </li> <li> <p>Reaffirms the Sterking–Tassan threshold as a global boundary of irreversibility independent of differential approximations.</p> </li> </ul> <h2>Core Contributions</h2> <p>The document makes several structural contributions to the closure of the governability framework:</p> <p><strong>1. Formal Definition of the Entropic Regime</strong><br>The regime is characterized by dominance of exogenous pressures and the inability of internal dissipation to compensate for external input.</p> <p><strong>2. Rigorous Identification of the Small Parameter</strong><br>The entropic regime is governed by a dimensionless ratio expressing internal structural capacity relative to exogenization pressure.</p> <p><strong>3. Local Analytical Framework</strong><br>Stability functions admit only strictly local approximations, preventing confusion between differential analysis and global irreversibility criteria.</p> <p><strong>4. Global Irreversibility Boundary</strong><br>The Sterking–Tassan threshold is reaffirmed as an invariant regime boundary marking the transition from governable states to irreversible loss of control.</p> <p><strong>5. Structural Validity Windows</strong><br>The document clarifies the role of structural validity conditions linking semantic density, dissipative capacity, and local analytical coherence.</p> <h2>Position within the Theoretical Corpus</h2> <p>This work belongs to a closed theoretical system describing two complementary fundamental modes of loss of governability:</p> <ul> <li> <p><strong>Entropic regime:</strong> loss of control through excessive exogenization and overload.</p> </li> <li> <p><strong>Mimetic regime:</strong> loss of control through internal closure and contraction of effective variety.</p> </li> </ul> <p>The present document addresses the entropic pole of this bipolar framework and ensures its formal coherence with the broader theory of endogenous stability.</p> <h2>Methodological Status</h2> <p>The text explicitly maintains the principle of theoretical closure:</p> <ul> <li> <p>No new law is introduced.</p> </li> <li> <p>No structural thresholds are modified.</p> </li> <li> <p>The framework remains minimal, coherent, and internally consistent.</p> </li> </ul> <p>Its contribution lies in clarification, normalization, and stabilization of the formal structure rather than theoretical extension.</p> <h2>Scope and Applicability</h2> <p>The formalization applies transversally to complex adaptive systems, including:</p> <ul> <li> <p>Dialogical artificial intelligence systems</p> </li> <li> <p>Human collectives and social dynamics</p> </li> <li> <p>Institutional and organizational systems</p> </li> <li> <p>Hybrid cognitive architectures</p> </li> </ul> <p>It provides a structural language for diagnosing governability conditions independently of specific empirical domains.</p> |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_18666187 |
| institution | Zenodo |
| language | |
| publishDate | 2026 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | III_Formalisation Définie du Régime Entropique_MIMETIC_Opérationel_RAG_RES_CBD LAURET, Wilson John Sterking TASSAN, Jean Charles Entropic regime Endogenous stability Governability Crowd-Based Dynamics Complex adaptive systems Exogenization Structural stability Irreversibility thresholds Sterking threshold Temporal governability Mimetic dynamics Systemic accumulation Loss of governability Dialogical AI stability RES = RAG framework <p>This document is part of the scientific corpus <strong>“Beyond Generative AI — The Science of Endogenous Stability”</strong>, which establishes a closed theoretical and operational framework for analyzing the stability and governability of complex cognitive and collective systems. It belongs to a series of formal works articulating the integrated framework <strong>{RES = RAG · Crowd-Based Dynamics (CBD) · Bouzid–Tassan Topos (BTT)}</strong>.</p> <p>The present text provides a <strong>definitive formalization of the entropic regime</strong>, clarifying the structural conditions under which a system loses governability due to excessive exogenization. Its objective is not to introduce new theoretical laws, but to consolidate, stabilize, and close the existing framework by specifying variables, analytical limits, and regime boundaries.</p> <h2>Scientific Context</h2> <p>The broader corpus establishes a paradigm shift from performance-oriented generative artificial intelligence toward a structural science of stability grounded in endogenous dynamics. Within this perspective, stability is understood as a conditional state governed by temporal synchronization, accumulation processes, semantic density, and institutional anchoring.</p> <p>Crowd-Based Dynamics provides the macroscopic laws describing accumulation, saturation, and loss of governability, while the RES = RAG paradigm formalizes dialogical temporality and semantic equilibrium. Together with the Bouzid–Tassan Topos, these elements form a unified language for diagnosing stability across artificial, institutional, and collective systems.</p> <h2>Purpose of the Document</h2> <p>The primary aim of this document is to establish a <strong>coherent, hierarchical, and irreversible formalism</strong> of the entropic regime. It resolves conceptual ambiguities and fixes the interpretation of key variables within the closed theoretical corpus.</p> <p>Specifically, the work:</p> <ul> <li> <p>Defines the entropic regime as a state of loss of governability caused by dominance of external pressure over endogenous regulation.</p> </li> <li> <p>Identifies the rate of exogenization as the central structural variable governing the regime.</p> </li> <li> <p>Clarifies the correct analytical neighborhood and distinguishes between structural variables and legitimate development parameters.</p> </li> <li> <p>Establishes the unique small parameter controlling local approximations and formalizes the appropriate development variable.</p> </li> <li> <p>Determines the strictly local status of Taylor expansions and prohibits their interpretation as global structural equalities.</p> </li> <li> <p>Reaffirms the Sterking–Tassan threshold as a global boundary of irreversibility independent of differential approximations.</p> </li> </ul> <h2>Core Contributions</h2> <p>The document makes several structural contributions to the closure of the governability framework:</p> <p><strong>1. Formal Definition of the Entropic Regime</strong><br>The regime is characterized by dominance of exogenous pressures and the inability of internal dissipation to compensate for external input.</p> <p><strong>2. Rigorous Identification of the Small Parameter</strong><br>The entropic regime is governed by a dimensionless ratio expressing internal structural capacity relative to exogenization pressure.</p> <p><strong>3. Local Analytical Framework</strong><br>Stability functions admit only strictly local approximations, preventing confusion between differential analysis and global irreversibility criteria.</p> <p><strong>4. Global Irreversibility Boundary</strong><br>The Sterking–Tassan threshold is reaffirmed as an invariant regime boundary marking the transition from governable states to irreversible loss of control.</p> <p><strong>5. Structural Validity Windows</strong><br>The document clarifies the role of structural validity conditions linking semantic density, dissipative capacity, and local analytical coherence.</p> <h2>Position within the Theoretical Corpus</h2> <p>This work belongs to a closed theoretical system describing two complementary fundamental modes of loss of governability:</p> <ul> <li> <p><strong>Entropic regime:</strong> loss of control through excessive exogenization and overload.</p> </li> <li> <p><strong>Mimetic regime:</strong> loss of control through internal closure and contraction of effective variety.</p> </li> </ul> <p>The present document addresses the entropic pole of this bipolar framework and ensures its formal coherence with the broader theory of endogenous stability.</p> <h2>Methodological Status</h2> <p>The text explicitly maintains the principle of theoretical closure:</p> <ul> <li> <p>No new law is introduced.</p> </li> <li> <p>No structural thresholds are modified.</p> </li> <li> <p>The framework remains minimal, coherent, and internally consistent.</p> </li> </ul> <p>Its contribution lies in clarification, normalization, and stabilization of the formal structure rather than theoretical extension.</p> <h2>Scope and Applicability</h2> <p>The formalization applies transversally to complex adaptive systems, including:</p> <ul> <li> <p>Dialogical artificial intelligence systems</p> </li> <li> <p>Human collectives and social dynamics</p> </li> <li> <p>Institutional and organizational systems</p> </li> <li> <p>Hybrid cognitive architectures</p> </li> </ul> <p>It provides a structural language for diagnosing governability conditions independently of specific empirical domains.</p> |
| title | III_Formalisation Définie du Régime Entropique_MIMETIC_Opérationel_RAG_RES_CBD |
| topic | Entropic regime Endogenous stability Governability Crowd-Based Dynamics Complex adaptive systems Exogenization Structural stability Irreversibility thresholds Sterking threshold Temporal governability Mimetic dynamics Systemic accumulation Loss of governability Dialogical AI stability RES = RAG framework |
| url | https://doi.org/10.5281/zenodo.18666187 |