Rethinking Cognition in the Age of Artificial Intelligence: The Non-Egoic Global Cognitive Reservoir as an Integrative Epistemological Framework

This work proposes an integrative theoretical framework for understanding cognition in digitally mediated environments shaped by artificial intelligence. The model advances a non-deterministic, relational, and infrastructural perspective on cognition, situating knowledge production beyond individualistic and subject-centered paradigms. The framework operates as an interdisciplinary convergence across contemporary approaches to cognition, complexity, and digital systems, offering a conceptual structure that preserves theoretical diversity while enabling structural alignment between them. Rather than presenting definitive claims, the conceptual contributions are formulated as open theoretical propositions, intended to support further analytical and empirical developments in the study of human–AI interaction, education, and cognitive processes in technologically mediated contexts. The conceptual framework presented in this work is not intended as an absolute or deterministic model, but as an open epistemological proposition, aligned with contemporary approaches in complexity theory and interdisciplinary cognitive science.