Theoretical model proposes measurable dynamics of coherence and state transitions across complex systems, highlighting testable pathways for AI safety and biological modeling.
This paper introduces the Congruency Framework, a proposed cross-domain model for investigating coherence, persistence, resonance, and state transition in complex systems. The framework proposes measurable relationships among system state, known-state coherence, system engagement, relational resonance, and continuance. It presents preliminary mathematical formulations, falsifiable hypotheses, competing-model requirements, and a research program spanning biological systems, temporal-state modeling, risk analytics, and AI safety. The framework is presented as a testable research hypothesis rather than an established scientific law.
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Franklin et al. (2026) studied this question.
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