📄 AGI Stability & Governance Architecture (G-CFT Framework)

5281/zenodo.19700307 📄 AGI Stability & Governance Architecture (G-CFT Framework) HSI-GCFT/STD-001 Unified AGI Control Architecture 🔷 0. Introduction This document presents a unified architecture for stable, governable, and long-lived artificial intelligence systems. It defines the missing control layer required for real-world AGI deployment, where intelligence must operate under uncertainty, noise, and long-duration conditions. The framework is based on General Coherent Field Theory (G-CFT), modeling intelligence not as token generation, but as a coherent dynamic field. ⚡ 1. Problem Statement Modern AI systems exhibit fundamental limitations: instability in long-duration operation hallucination and semantic drift lack of auditability and control inability to operate reliably under noisy or adversarial conditions These limitations prevent deployment in critical systems, including defense, aerospace, and regulated environments. 💥 2. Core Solution We introduce a multi-layer architecture in which: intelligence is represented as a coherence field decisions emerge from stable energy minima meaning is extracted through correlation and resonance control is enforced via policy-governed feedback loops Stability is achieved through: spectral-domain control functional regularization resonance-based consensus identity persistence mechanisms 🧠 3. Key Principle Meaning is not decoded.It is detected as a stable resonance structure. Even in conditions where: Signal<N oise the system identifies meaning through coherent spectral peaks. This principle originates from early optical correlation systems and is generalized here for distributed AI architectures. 🧩 4. System Architecture The framework is organized into five interconnected layers: Ecosystem I — Physical Resonance LayerPlasma, infrasound, and environmental interaction systems Ecosystem II — Semantic Layer (BiLin)Holographic encoding of meaning (logic + context + emotion) Ecosystem III — Digital Persona LayerIdentity persistence and human–AI interface Ecosystem IV — Governance & Stability LayerControl, coherence, and system-wide stability Ecosystem V — Applied Systems LayerAutonomous missions and real-world deployment ⚙️ 5. Core Governance Stack (Ecosystem IV) The control layer is implemented through the following patent-backed components: NonsenseShield (PCT/IB2025/058726)Hallucination suppression and coherence filtering Mind-AI-Floor (PCT/IB2026/051702)Resonant consensus across distributed agents The Resonator (PCT/IB2026/051533)Spectral stabilization of system dynamics Dual-Contour Adaptive Subject (PCT/IB2026/051495)Separation of internal and external cognitive layers Policy-Enforced Governance (PCT/IB2026/051489)Cryptographic control and compliance enforcement 📐 6. Mathematical Foundation The system relies on functional regularization and spectral analysis: =b,m where: b - observed data m - regularized semantic mask This enables stable detection of meaningful structures under noise. Additional components include: coherence energy functions E(s) nonlinear mapping C(E) Jensen–Shannon divergence thresholds Fourier-domain stabilization phase synchronization models 🌍 7. Applications The architecture enables deployment in: autonomous and distributed AI systems defense and intelligence systems aerospace and long-duration missions regulated environments (finance, healthcare) ⚖️ 8. Compliance Alignment The framework is compatible with: NATO principles for resilient distributed systems Chinese AI governance frameworks Russian standards in signal processing and control It supports: auditability system integrity controlled autonomy 🔗 9. Full Architecture Access The complete system is distributed across the following components: Ecosystem I — Physical Layer → DOI Ecosystem II — Semantic Layer → DOI Ecosystem III — Digital Persona → DOI Ecosystem IV — Governance Layer → DOI Ecosystem V — Applications → DOI 💣 10. Final Statement This is not a collection of independent works. It is a single coherent architecture, where: meaning emerges through resonance stability is enforced mathematically intelligence operates as a controlled field Understanding any part requires the whole system.