UCM Type‑II Polyphasic Self‑Governing Architecture
Abstract
This paper formalizes a Type‑II Universal Cell Model (UCM) architecture capable of self‑observation, bounded self‑modification, and federated stability through polyphasic control. The system integrates external perception without authority, symbolic glyph memory, ghost execution with parallel trust voting, and multi‑cell federation. Unlike conventional adaptive or agentic systems, the architecture treats perception, entropy, trust, and feedback as independent but dynamically coupled state phases. Stability, learning, and collapse emerge from explicit control‑theoretic boundaries rather than heuristic rules. Mathematical bifurcation surfaces are derived to distinguish integrator, resonator, and collapse regimes. The result is a reproducible, auditable framework for long‑lived adaptive computation.
Fields of Study & Subjects
Cellular Automata and Applications
Nonlinear Dynamics and Pattern Formation
Neural Networks and Reservoir Computing
Publication details
- Journal / source
- Zenodo (CERN European Organization for Nuclear Research)
- Publication date
- 4 January 2026
- Document type
- Preprint