OmegA: A Layered Architecture for Sovereign Cognitive Agents
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.
Authors
- Ryan W. Yett
Institutions
- National Intelligence University (US)
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2026-05-30
- DOI
- https://doi.org/10.5281/zenodo.20454381
- Primary Topic
- Neural Networks and Reservoir Computing
- Type
- article
- Field-Weighted Citation Impact
- 0.00