OmegA: A Layered Architecture for Sovereign Cognitive Agents
Abstract
Background & Motivation: Existing AI architectures lack a first-principles bridge between human intuition and artificial calculation, leading to brittle systems. We present OmegA, a layered architecture designed for sovereign cognitive agents with structural integrity guarantees. Methods & Formal Framework: Built on a 17-crate Rust ecosystem, OmegA integrates three primary layers: The Medulla: Spiking neural networks for discrete signal processing. The Cortex: Temporal ring buffers and attention via ExoGenesis. The Sovereign Layer: ADCCL governance and the Yett-Chyren Master Equation. Results & Contributions: Central to OmegA is MYELIN — a graph-native persistent memory system implementing "intelligent forgetting" via the Ramanujan-Yett Hamiltonian. The architecture demonstrates: Topological Stability: Sustained coherence within the 0.9539 Sovereign Boundary. Drift Immunity: Resistance to epistemic drift even under extreme informational noise. Implications & Future Work: OmegA provides a blueprint for the next generation of autonomous agents where sovereign cognition is a structural guarantee rather than a behavioral policy.
Fields of Study & Subjects
Neural Networks and Reservoir Computing
Quantum Computing Algorithms and Architecture
Quantum many-body systems
Publication details
- Journal / source
- Zenodo (CERN European Organization for Nuclear Research)
- Publication date
- 4 May 2026
- Language
- EN