ENNORY: A Computational Framework for Transition Intelligence in Formula One Engineering, Structural Heart Intervention, and Artificial Intelligence

Abstract

ENNORY introduces Transition Intelligence, a computational framework designed to model, analyse, and preserve continuity as complex systems transition between evolving states. Unlike fixed-purpose computational models, ENNORY functions as a unified transition architecture capable of transforming into specialised computational engines while maintaining a common mathematical and structural foundation. Each engine adapts its computational reasoning according to the requirements of its target domain, allowing a single framework to support diverse applications without changing its underlying transition principles. This foundation monograph establishes the theoretical principles of ENNORY and demonstrates their application through domain-specific engines in Formula One engineering, structural heart intervention, and artificial intelligence. Across these examples, the framework examines continuity, transition behaviour, structural reorganisation, and adaptive system intelligence, providing an additional computational perspective for analysing complex systems. ENNORY proposes Transition Intelligence as a computational paradigm that extends beyond analysing outcomes by modelling the structure of transitions themselves. By enabling specialised computational engines to emerge from a shared transition framework, ENNORY establishes a foundation for future computational modelling, software development, simulation, and empirical validation across engineering, healthcare, artificial intelligence, and other complex systems.v