UCM Type‑II Polyphasic Self‑Governing Architecture

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Authors: Paul Roe
Cited by: 0

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