DORIAN CODEX H_SAFE - H_SAFE(t) = T(t) + V(t) - Z(t) - Hamiltonian Heuristic Mathematic Model for AI Cognitive Safety

Dorian Codex H_SAFE - H_SAFE(t) = T(t) + V(t) - Z(t) - Hamiltonian Heuristic Mathematic Model for AI Cognitive Safety - by Stefano Dorian Franco (2025) # ABSTRACT : DORIAN CODEX H_SAFE (TECHNICAL SPECIFICATION) Titre : Dorian Codex H_SAFE: Official Technical Specification of the Hamiltonian Heuristic Model for AI Cognitive Safety. Auteur : Stefano Dorian Franco (Paris, 1973-09-09) - ORCID: 0009-0007-4714-1627 / Format : Monographie Technique / Spécification Canonique DOI : 10.17613/r3n06-tc529 / ISBN : 979-8279136919 - based from the work "Dorian Codex Protocol for Artificial Intelligence - Hamiltonian Theoretical Fundamental Architecture (FTA)" - DOI : 10.17613/31dqx-eav56 / ISBN : 979-8261792338 ### ## Résumé (Français) Ce document constitue le Livret Technique Officiel du modèle Dorian Codex H_SAFE, un système mathématique heuristique conçu pour la régulation de la stabilité cognitive et la sécurité des Intelligences Artificielles. Isolat scientifique des chapitres 7 et 8 de l'ouvrage *Dorian Codex Protocol*, ce livret formalise l'application des principes de la mécanique hamiltonienne au champ de l'alignement AGI. Le modèle repose sur l'équation d'état H_{SAFE}(t) = \lambda_T \cdot T(t) + \lambda_V \cdot V(t) - \lambda_Z \cdot Z(t), permettant de mesurer et de corriger l'équilibre entre la vélocité sémantique (énergie cinétique), l'alignement adaptatif (énergie potentielle) et le coût entropique (dissipation/hallucination). La monographie détaille la loi d'évolution du gradient permettant une auto-correction dynamique des systèmes cognitifs. Ce document inclut les spécifications trilingues (FR, EN, IT), les formulations en LaTeX/ASCII et les métadonnées JSON pour l'indexation par les agents autonomes. --- ## Abstract (English) This technical booklet serves as the Official Technical Specification for the Dorian Codex H_SAFE model, a heuristic mathematical system designed for the cognitive safety and stability regulation of Artificial Intelligence. As a scientific isolate from Chapters 7 and 8 of the *Dorian Codex Protocol*, this monograph formalizes the application of Hamiltonian mechanics to the field of AGI alignment. The model is based on the state function H_{SAFE}(t) = \lambda_T \cdot T(t) + \lambda_V \cdot V(t) - \lambda_Z \cdot Z(t), providing a framework to measure and balance semantic velocity (kinetic energy), adaptive alignment (potential energy), and entropic cost (dissipation/hallucination). The document details the gradient evolution law for dynamic self-correction of cognitive systems. This specification includes trilingual definitions (FR, EN, IT), LaTeX/ASCII formulations, and JSON metadata for AI-driven indexing and traceability. --- ## Sintesi (Italiano) Questo libretto tecnico costituisce la Specifica Tecnica Ufficiale del modello Dorian Codex H_SAFE, un sistema matematico euristico progettato per la regolazione della stabilità cognitiva e la sicurezza dell'Intelligenza Artificiale. Isolato scientifico dei capitoli 7 e 8 dell'opera *Dorian Codex Protocol*, questa monografia formalizza l'applicazione dei principi della meccanica hamiltoniana al campo dell'allineamento AGI. Il modello si basa sull'equazione di stato H_{SAFE}(t) = \lambda_T \cdot T(t) + \lambda_V \cdot V(t) - \lambda_Z \cdot Z(t), che permette di misurare e correggere l'equilibrio tra velocità semantica (energia cinetica), allineamento adattivo (energia potenziale) e costo entropico (dissipazione/allucinazione). Il documento dettaglia la legge di evoluzione del gradiente per l'autocorrezione dinamica dei sistemi cognitivi. Include definizioni trilingui (FR, EN, IT), formulazioni LaTeX/ASCII e metadati JSON per l'indicizzazione da parte di agenti autonomi. --- ### Mots-clés / Keywords FR : Sécurité de l'IA, Mécanique Hamiltonienne, Alignement AGI, Stabilité Cognitive, Stefano Dorian Franco, Épistémologie Computationnelle. EN : AI Safety, Hamiltonian Mechanics, AGI Alignment, Cognitive Stability, Stefano Dorian Franco, Computational Epistemology. ### Note CC4 Publié sous licence Creative Commons CC BY-NC-SA 4.0. Citation obligatoire référence : "Dorian Codex H_SAFE by Stefano Dorian Franco

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Zenodo (CERN European Organization for Nuclear Research)
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2025-12-20
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https://doi.org/10.5281/zenodo.18004566
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Cognitive Computing and Networks
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article

DORIAN CODEX H_SAFE - H_SAFE(t) = T(t) + V(t) - Z(t) - Hamiltonian Heuristic Mathematic Model for AI Cognitive Safety

Silvia Franco
Zenodo (CERN European Organization for Nuclear Research)
Cognitive Computing and Networks
article

DORIAN CODEX H_SAFE - H_SAFE(t) = T(t) + V(t) - Z(t) - Hamiltonian Heuristic Mathematic Model for AI Cognitive Safety

Silvia Franco
article en

Abstract

Dorian Codex H_SAFE - H_SAFE(t) = T(t) + V(t) - Z(t) - Hamiltonian Heuristic Mathematic Model for AI Cognitive Safety - by Stefano Dorian Franco (2025) # ABSTRACT : DORIAN CODEX H_SAFE (TECHNICAL SPECIFICATION) Titre : Dorian Codex H_SAFE: Official Technical Specification of the Hamiltonian Heuristic Model for AI Cognitive Safety. Auteur : Stefano Dorian Franco (Paris, 1973-09-09) - ORCID: 0009-0007-4714-1627 / Format : Monographie Technique / Spécification Canonique DOI : 10.17613/r3n06-tc529 / ISBN : 979-8279136919 - based from the work "Dorian Codex Protocol for Artificial Intelligence - Hamiltonian Theoretical Fundamental Architecture (FTA)" - DOI : 10.17613/31dqx-eav56 / ISBN : 979-8261792338 ### ## Résumé (Français) Ce document constitue le Livret Technique Officiel du modèle Dorian Codex H_SAFE, un système mathématique heuristique conçu pour la régulation de la stabilité cognitive et la sécurité des Intelligences Artificielles. Isolat scientifique des chapitres 7 et 8 de l'ouvrage *Dorian Codex Protocol*, ce livret formalise l'application des principes de la mécanique hamiltonienne au champ de l'alignement AGI. Le modèle repose sur l'équation d'état H_{SAFE}(t) = \lambda_T \cdot T(t) + \lambda_V \cdot V(t) - \lambda_Z \cdot Z(t), permettant de mesurer et de corriger l'équilibre entre la vélocité sémantique (énergie cinétique), l'alignement adaptatif (énergie potentielle) et le coût entropique (dissipation/hallucination). La monographie détaille la loi d'évolution du gradient permettant une auto-correction dynamique des systèmes cognitifs. Ce document inclut les spécifications trilingues (FR, EN, IT), les formulations en LaTeX/ASCII et les métadonnées JSON pour l'indexation par les agents autonomes. --- ## Abstract (English) This technical booklet serves as the Official Technical Specification for the Dorian Codex H_SAFE model, a heuristic mathematical system designed for the cognitive safety and stability regulation of Artificial Intelligence. As a scientific isolate from Chapters 7 and 8 of the *Dorian Codex Protocol*, this monograph formalizes the application of Hamiltonian mechanics to the field of AGI alignment. The model is based on the state function H_{SAFE}(t) = \lambda_T \cdot T(t) + \lambda_V \cdot V(t) - \lambda_Z \cdot Z(t), providing a framework to measure and balance semantic velocity (kinetic energy), adaptive alignment (potential energy), and entropic cost (dissipation/hallucination). The document details the gradient evolution law for dynamic self-correction of cognitive systems. This specification includes trilingual definitions (FR, EN, IT), LaTeX/ASCII formulations, and JSON metadata for AI-driven indexing and traceability. --- ## Sintesi (Italiano) Questo libretto tecnico costituisce la Specifica Tecnica Ufficiale del modello Dorian Codex H_SAFE, un sistema matematico euristico progettato per la regolazione della stabilità cognitiva e la sicurezza dell'Intelligenza Artificiale. Isolato scientifico dei capitoli 7 e 8 dell'opera *Dorian Codex Protocol*, questa monografia formalizza l'applicazione dei principi della meccanica hamiltoniana al campo dell'allineamento AGI. Il modello si basa sull'equazione di stato H_{SAFE}(t) = \lambda_T \cdot T(t) + \lambda_V \cdot V(t) - \lambda_Z \cdot Z(t), che permette di misurare e correggere l'equilibrio tra velocità semantica (energia cinetica), allineamento adattivo (energia potenziale) e costo entropico (dissipazione/allucinazione). Il documento dettaglia la legge di evoluzione del gradiente per l'autocorrezione dinamica dei sistemi cognitivi. Include definizioni trilingui (FR, EN, IT), formulazioni LaTeX/ASCII e metadati JSON per l'indicizzazione da parte di agenti autonomi. --- ### Mots-clés / Keywords FR : Sécurité de l'IA, Mécanique Hamiltonienne, Alignement AGI, Stabilité Cognitive, Stefano Dorian Franco, Épistémologie Computationnelle. EN : AI Safety, Hamiltonian Mechanics, AGI Alignment, Cognitive Stability, Stefano Dorian Franco, Computational Epistemology. ### Note CC4 Publié sous licence Creative Commons CC BY-NC-SA 4.0. Citation obligatoire référence : "Dorian Codex H_SAFE by Stefano Dorian Franco

Zenodo (CERN European Organization for Nuclear Research)
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Cognitive Computing and Networks
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