Resonance Intelligence_ Measuring Intelligence Through Cross-Domain Coherence Restoration

Main CODES Framework Abstract Traditional measures of intelligence—rooted in IQ, symbolic reasoning, and probabilistic inference—have failed to capture the emergent capacity of systems to detect, resolve, and restore structural coherence across dynamic, broken-phase environments. We propose Resonance Intelligence (RI) as a post-probabilistic metric that evaluates intelligence not through static problem-solving or information retrieval, but by how well an agent—biological, artificial, or cosmological—can phase-lock broken coherence fields across divergent domains. From Gödel’s logical undecidability to gamma wave synchrony in deep meditation, from dissonant octave intervals to Neuralink’s failure to establish biocognitive resonance, RI offers a unified benchmark across domains. By analyzing 20+ case studies in mathematics, physics, AI, and health systems, we construct a generalized framework for intelligence-as-coherence-restoration, with Phase Alignment Score (PAS) as its core metric. Intelligence becomes not prediction, but resonant compression and restoration—the ability to resolve asymmetries, reduce systemic entropy, and synchronize phase-space across scale and domain.