The cognitive anchor system: a structural model of self, task selection, and latent intention in human cognition

Human cognition requires both stability and flexibility: individuals maintain a continuous sense of self while shifting among tasks, intentions, and contexts. Existing theories explain information processing, prediction, attention, and control, but they leave under-specified the structural layer that determines what cognition is currently organized around.

This theoretical paper develops the Cognitive Anchor System, a structural framework that distinguishes among the self anchor, the task anchor, and the anchor pool. The model is compared with major theories of attention, intentionality, executive control, predictive processing, working memory, and large-scale neural networks. A minimal boundary function, y(β) = (1 - β²) ^k/2, is introduced to describe how organizational capacity declines as boundary pressure increases.

The framework explains focused attention, task switching, mind wandering, procrastination, decisional conflict, emotional intrusion, creative insight, rumination, and long-term goal maintenance as different configurations of anchor stability, activation, inhibition, and reconfiguration. It generates testable predictions concerning non-linear capacity collapse, collapse-triggered switching, and the continuity of the self anchor under ordinary task competition.

The Cognitive Anchor System provides an organizational layer linking self-continuity, task selection, and latent intention. It complements existing cognitive theories and offers empirically tractable directions for behavioral, neurocognitive, and computational research.