Attractors of Reason

Cognitive systems, whether human or artificial, do not reason in linear or staticpatterns. They navigate complex landscapes of belief, bias, and frame-dependence.This article introduces a dynamical model of reasoning grounded in the concept ofattractors: regions in cognitive space toward which thought tends to flow. We arguethat each epistemic frame functions as a local attractor, bias reflects resistance to frame-exit, and Pure Reason is the capacity to navigate across attractor basins. Drawing fromchaos theory, metacognition, and systems neuroscience, we outline a mathematical-philosophical model of rationality as movement within structured uncertainty.