Practical Applicability of Emergent Necessity Theory (ENT): A Coherence-Threshold Framework for Cross-Domain Science

Emergent Necessity Theory (ENT) introduces the coherence ratio $\tau(t)$ that compares order-sustaining dynamics with disruptive forces, with thresholds $\tau_c$ marking when systems lose stability. This portable measure is designed to bridge fragmented sciences. It applies directly in engineering and control systems, is testable in neuroscience with EEG/fMRI, and provides a structural lens for analyzing symbolic drift in AI. ENT does not replace domain models such as IIT, the Free Energy Principle, or classical control, but integrates with them under a single, falsifiable threshold framework. Its staged maturity—ready in engineering, investigational in neuroscience, conceptual in AI—ensures scientific realism while providing a unifying framework for stability research across domains.