The NOEM Framework,A Cognitive–Energetic Theory of Meaning Generation

The rapid expansion of digital communication systems, algorithmic media environments, and artificial intelligence has dramatically increased the volume and velocity of informational production. Paradoxically, this growth of information has not been accompanied by a proportional increase in coherent knowledge or shared frameworks of meaning. Contemporary societies appear capable of generating unprecedented quantities of informational signals while simultaneously struggling to organize these signals into structured systems of understanding. This article proposes the NOEM framework, a conceptual model that analyzes the capacity of cognitive systems to transform informational flows and cognitive effort into meaningful knowledge. The framework introduces the concept of nœm, defined as the productive capacity of cognition to convert information into structured meaning. Within this model, meaning generation emerges from the interaction of three variables: cognitive energy devoted to understanding, the effectiveness of informational filtering mechanisms, and the entropy of the informational environment. The paper examines how digital communication systems and attention-driven media environments may increase informational entropy, potentially weakening the institutional mechanisms historically responsible for knowledge organization. It also discusses the dual role of artificial intelligence as both a tool for reducing informational complexity and a driver of informational expansion. By linking information theory, institutional knowledge systems, and futures studies, the NOEM framework offers a systemic perspective on the epistemic challenges facing contemporary informational civilizations.