Abstract

This paper introduces Intelligence Frame Theory (IFT), a conceptual framework for understanding how agents—both human and artificial—organize and interpret structured knowledge. Drawing from cognitive science, epistemology, and artificial intelligence, Intelligence Frame Theory posits that "frames" act as dynamic contextual structures that guide reasoning, relevance, and decision-making. We argue that classical models of logic and representation fall short in explaining the flexible and layered nature of real-world cognition. By formalizing frame-based reasoning, this work offers a foundation for future research in machine understanding, intelligent systems design, and the philosophy of mind.