The mind/brain operates as an information-processing organ that seeks efficiency by predicting the world to use information efficiently and by regularly re-representing information to store it efficiently. This theory, Information Dynamics of Thinking, is grounded in Shannon's information theory and is designed for computational implementation and empirical testing. The paper reviews background research areas relevant to the theory and discusses its consequences and testable hypotheses.
Creativity, central to human innovation and culture, remains poorly understood scientifically, partly because it has been viewed as a mysterious puzzle. Recent neuroscience has begun exploring its neural correlates, but the field still relies on popular notions like right-brain thinking and divergent thinking. This article presents a computational framework for creativity grounded in Baars' Global Workspace Theory, enhanced with information-theoretic mechanisms. It proposes a neurocognitive architecture emphasizing unconscious and pre-conscious brain processes—such as unconscious thought theory, mind wandering, and spontaneous brain states. The central argument is that pre-conscious creativity precedes conscious creativity, and the model offers a mechanism for this transition, aiming to guide future neuroscientific research.