Pure Reason as a Metacognitive Framework for Cognitive Self-Correction: From Epistemic Theory to Psychological Methodology

Modern psychology has made great strides in identifying cognitive biases, yet it still lacks a unifying framework for modeling reflective, frame-aware reasoning. This paper proposes Pure Reason as a metacognitive architecture for cognitive self-correction. Rather than a fixed trait or algorithm, Pure Reason is defined as a regulative stance—a dynamic posture toward one’s own cognition. Drawing from epistemology, metacognitive research, and systems neuroscience, the framework outlines three core components: frame-awareness, cognitive curvature, and reframing capacity. These are operationalized through psychometric instruments, behavioral paradigms, and neurocognitive measures. By bridging philosophical theory, psychological methodology, and AI design, Pure Reason offers a practical model for cultivating higher-order cognition in both human and artificial agents—especially in a world increasingly shaped by complexity, uncertainty, and algorithmic mediation.