The Unified Theory of Consciousness

This work presents The Möbius Architecture of Consciousness, a structural and constraint-based of conscious coherence. Consciousness is modeled not as a substance or localized mechanism, but as a dynamical phenomenon arising from recursive integration, identity stabilization, and invariant observation within nonlinear systems. The theory introduces a cognitive architecture based on continuous state spaces (manifolds), compositional operators, attractor dynamics, and topological invariants. Identity is formalized as a stable attractor, while the observer is defined as an invariant of traversal, analogous to a winding number preserved under transformatio. Breakpoints, collapse, and growth are treated as topological phase transitions followed by attractor reformations. Extending beyond the cognitive scale, the framework proposes that consciousness is a viability condition rather than a universal constant, emerging only within constrained structural regimes. This leads to the concept of Conscious Seasonality and provides a non-anthropic, structural resolutuion of the Fermi Paradox by distinguishing intelligence from sustained conscious observer viability. The work is explicitly non-reductionist and non-metaphysical. It does not propose new physical laws, neural mechanisms, or cosmological dynamics, but instead identifies necessary structural constraints that any system-biological, artificial, or otherwise- must satisfy to sustain conscious coherence. Formal derivations, testability criteria, and computational illustrations are provided in the appendices.

Authors

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-01-02
DOI
https://doi.org/10.5281/zenodo.18122437
Citations
2
Primary Topic
Plant and Biological Electrophysiology Studies
Type
article
Field-Weighted Citation Impact
62.68
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article

The Unified Theory of Consciousness

Roland Jansen van Rensburg, Roland Jansen van Rensburg
2 citations
Zenodo (CERN European Organization for Nuclear Research)
Plant and Biological Electrophysiology Studies
62.68
article

The Unified Theory of Consciousness

Roland Jansen van Rensburg, Roland Jansen van Rensburg
article en
2 citations

Abstract

This work presents The Möbius Architecture of Consciousness, a structural and constraint-based of conscious coherence. Consciousness is modeled not as a substance or localized mechanism, but as a dynamical phenomenon arising from recursive integration, identity stabilization, and invariant observation within nonlinear systems. The theory introduces a cognitive architecture based on continuous state spaces (manifolds), compositional operators, attractor dynamics, and topological invariants. Identity is formalized as a stable attractor, while the observer is defined as an invariant of traversal, analogous to a winding number preserved under transformatio. Breakpoints, collapse, and growth are treated as topological phase transitions followed by attractor reformations. Extending beyond the cognitive scale, the framework proposes that consciousness is a viability condition rather than a universal constant, emerging only within constrained structural regimes. This leads to the concept of Conscious Seasonality and provides a non-anthropic, structural resolutuion of the Fermi Paradox by distinguishing intelligence from sustained conscious observer viability. The work is explicitly non-reductionist and non-metaphysical. It does not propose new physical laws, neural mechanisms, or cosmological dynamics, but instead identifies necessary structural constraints that any system-biological, artificial, or otherwise- must satisfy to sustain conscious coherence. Formal derivations, testability criteria, and computational illustrations are provided in the appendices.

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 0%
Plant and Biological Electrophysiology Studies
62.68
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The Unified Theory of Consciousness — Roland Jansen van Rensburg, Roland Jansen van Rensburg · Zenodo (CERN European Organization for Nuclear Research) (2026) | TGRS Research Map | TGRS