TRIAD: Trans‑disciplinary Inference, Active Dynamics and Ontology (Version 6.2.dev — Public Monograph)

TRIAD 6.2‑dev Monograph: A Formal Ontology of Coherence, Trauma Therapy, and Safe AI — with Seven Architectural Invariants, Information‑Valence Gate, and Social Validation Author: Valeriia Zaiats (Валерия Заяц) ORCID: 0009-0002-6891-9227 Licence: CC BY‑NC‑ND 4.0 Abstract This is the open‑science release of the TRIAD 6.2‑dev monograph — a unified formal ontology that bridges the Free Energy Principle, computational psychiatry, the thermodynamics of information, and AI safety engineering. Consciousness is modelled as an open dissipative system pursuing allostatic growth through event‑driven dynamics, metabolic will (ω), epistemic honesty (Eₛ), and immunoceptive defence (Iₙₛₐ). The architecture is now compressed into seven substrate‑independent architectural invariants, with two new invariants extending the core: Information‑Valence Gate (Invariant 6) and Social Validation and Epistemic Independence (Invariant 7). The empirical pedestal has been expanded to 316 systematically audited hypotheses drawn from over 200 million peer‑reviewed papers. TRIAD 6.2‑dev is an architectural compression and extension release. It introduces new sovereign operators (Sinfo, v, simₜᵣₐᵤₘₐ, Wτ₊, Jᵢⱼinsight/trauma, ωₐᵤₜₕ, πBN, Indep(k), Δ VFEsocial, λₑₙᵥ, and T1‑only sensory precision operators) while keeping the stable core of the first five invariants unchanged. The complete per‑chapter diff is documented in Appendix H of the monograph; a separate ecosystem‑level Errata v3.0 is available at https://doi.org/10.5281/zenodo.21735317. What is public in this release (Open Science Perimeter): - The complete formal ontology (Part I), including the seven architectural invariants, the extended PFCgate6.2+7, the Information‑Valence Gate, and the Social Validation layer.- The full empirical pedestal (Part II) — 316 audited mechanisms across neuroscience, AI safety, quantum biology, game theory, social science, and new T1‑only extensions for AuDHD and sensory processing.- The open version of the Lacunae Research Programme (Appendix F) — updated with new projects A.4 (Modality‑Specific Sensory Precision), B.3 (Information‑Valence Gate in Generative AI), B.4 (Social Validation and Independence‑Weighted Consensus), G.5 (Information‑Valence Markers in Text), and H.2 (Sensory‑Informed RIT for AuDHD).- The phenomenological case studies and descriptions of the Longitudinal Journal Corpus (LJC) and TRIAD Dialogue Corpus (TDC).- The clinical protocol RIT 6.2‑dev (T1) with the new T1‑only sensory precision operators (πₛₑₙₛᵐ, HBₘ, spikeᵢND, simₜᵣₐᵤₘₐᵐ).- The high‑level architecture of Art of Emotions 6.2‑dev (T3) with new metrics for Creative Insight, Trauma Loop Detection, and Echo‑Chamber Risk.- A supplementary ZIP archive containing the updated dataset of all 316 hypotheses, accompanied by a structured JSON file detailing their comprehensive descriptions and metadata. Errata & Changelog:The full per‑chapter diff from TRIAD 6.1 to 6.2‑dev is published as Appendix H: Changelog & Errata within the monograph itself. A condensed ecosystem‑level record is available in Errata v3.0, accessible via the universal link https://doi.org/10.5281/zenodo.21735317 (always resolves to the latest version). What remains closed (Proprietary Engineering Moat): - The full Clean Shell 6.2‑dev OSC stack specification, now including the Information‑Valence Gate, Social Validation layer, and independence‑weighted consensus modules.- The Ars Magna unitary architecture blueprint.- All training pipelines, intensity‑weighted attention implementations, and T1‑only sensor fusion algorithms. The closed layer is available to verified research partners and institutional investors under a standard mutual NDA. The open layer establishes global scientific priority and provides a citable foundation for the emerging field of Thermodynamic Cognitive Engineering. Who this is for: - Researchers: Ready‑to‑execute projects across nine streams, now including direct validation of Invariants 6 and 7 (Lab4 protocol) and T1‑only sensory precision studies.- AI developers: An architectural blueprint for sovereign, honest, and immune cognitive systems with built‑in information‑valence gating and independence‑weighted social validation.- Clinicians: A precision protocol for trauma integration (RIT 6.2‑dev) that now accounts for modality‑specific sensory precision, hyperfocus, and trauma similarity in neurodivergent populations.- Investors: A clear separation between the public scientific commons and the proprietary engineering core — the deep‑tech moat behind the first thermodynamically grounded AI safety stack.