What does it mean for science and technology to be genuinely original? Is originality the discovery of pre-existing laws, the invention of new tools, or the refinement of established methods? Decoding the Core of Scientific and Technological Originality argues that such questions remain unresolved because modern thought lacks a coherent account of how originality itself is generated. This book reconstructs originality from a generative perspective, treating science and technology as two distinct yet inseparable forms of creation. Science produces new explanatory entities-laws, models, and theoretical structures-while technology produces new operational entities-systems, instruments, and automated processes. Neither can be reduced to the other, yet both arise from a deeper generative logic that precedes discovery, application, or optimization. At the foundation of the book lies SIO Ontology (Subject-Interaction-Object), which replaces the traditional subject-object framework with interaction as the core of existence. In this view, subjects and objects do not exist independently; they are continuously generated and stabilized through interaction. Scientific concepts and technological systems are therefore not neutral representations or downstream applications of knowledge, but entities that emerge from specific interaction patterns and gain stability through repeated coordination. Building on this ontological shift, the book identifies three inner cores that structure originality.

Philosophically, Feature Entanglement replaces linear causality as the driving mechanism of innovation: originality arises when differences interact, amplify, and stabilize into new structures. Mathematically, Calculus is reinterpreted as the generative language of difference, in which differentiation captures emergent relational distinctions and integration constructs coherent wholes underlying scientific theories and technological systems. Methodologically, the SIO Triple Logic-Generative Logic, Formal Logic, and Developmental Logic-explains how problems emerge, models are formalized, and structures evolve beyond existing paradigms. Through analyses of scientific revolutions, engineering systems, artificial intelligence, and organizational innovation, the book demonstrates that scientific discovery and technological invention follow the same generative structure while producing different kinds of original entities. Rather than forecasting trends or offering techniques, this work reconstructs the logic of originality itself, providing a unified framework for understanding how new sciences and new technologies come into existence in the age of intelligent systems.