AGORIA 3.4: A Unified Governance Framework for Cognitive and Cyber-Physical Systems with Reinforced Formal Guarantees
Abstract
Hybrid AI systems that combine cognitive decision-making with physical actuation pose unprecedented challenges for governance, safety, and certification. AGORIA 3.4 presents a unified architectural framework that bridges cognitive governance (AGORIA v1.3) and cyber-physical governance (AGORIA v1.6) into a coherent, certifiable solution for safety-critical applications.Core Innovation: Controlled IgnoranceAGORIA introduces the principle of controlled ignorance—the deliberate, verifiable, and structural restriction of information accessible to each system layer beyond what is strictly required for its formal responsibility. This architectural invariant reduces cognitive coupling, limits attack surfaces, enables independent certification, and ensures that no single component can subvert the safety-governance chain. Zero-knowledge proofs provide cryptographic enforcement of this separation.Four-Layer ArchitectureThe framework organizes systems into four formally interconnected layers: STRATEGOS: Strategic cognitive governance via Choquet integral aggregation (~100 ms)GENESIS: Tactical planning with DSL→STL translation and ZK certificate generation (
Fields of Study & Subjects
Adversarial Robustness in Machine Learning
Ethics and Social Impacts of AI
Safety Systems Engineering in Autonomy
Publication details
- Journal / source
- Zenodo (CERN European Organization for Nuclear Research)
- Publication date
- 7 January 2026
- Document type
- Preprint