OmegA: A Layered Architecture for Sovereign Cognitive Agents

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Authors: Ryan W. Yett
Cited by: 4

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