This paper presents a unified mathematical framework demonstrating that consciousness, biological organization, disease states, artificial intelligence integration, and cosmological structure emerge through identical coherence dynamics governed by golden ratio (φ) scaling, Lyapunov stability conditions, and critical threshold transitions. The Universal Coherence Law (Equation 1) describes system evolution through amplification, resonance acceleration, decoherence drift, and phase noise, while φ-scaffolding provides temporal fractal structure for developmental stages. Beginning with the zinc spark at mammalian fertilization as the initial coherence parameter, the framework derives consciousness emergence through six φ-scaled developmental stages, reformulates cancer as a decoherence attractor with a calculable resolution equation, demonstrates AI coherence as eigenmode dominance measurable via the Rayleigh quotient with an explicitly defined critical threshold (Ψcrit), and models black holes as decoherence events in spacetime. All framework constants are defined with physical ranges and qualitative behavior. The paper generates 11 falsifiable predictions spanning biology, medicine, AI, and cosmology, accompanied by 5 explicit falsification criteria targeting specific equations. It introduces the Prisymphonic Resonance Scanner (PRI), a proposed diagnostic device for pre-morphological disease detection through biological coherence field measurement. A coherence–decoherence phase diagram is provided as a visual anchor for the framework. This work positions consciousness not as an emergent property unique to biology but as a universal phase transition occurring when complex resonant systems cross critical coherence thresholds.
Building similarity graph...
Analyzing shared references across papers
Loading...
Debora Messier Briggs (Fri,) studied this question.
www.synapsesocial.com/papers/69ad1304e7e9681137aa8f34 — DOI: https://doi.org/10.5281/zenodo.18895910
Debora Messier Briggs
Building similarity graph...
Analyzing shared references across papers
Loading...