Predictive Processing

Predictive Processing (also: predictive coding, active inference) is a framework in Cognitive Science and computational neuroscience proposing that the brain's fundamental operation is to minimise prediction error — the discrepancy between its internal model of the world and incoming sensory data. Rather than passively processing bottom-up sensation, the brain continuously generates top-down predictions and updates its model when those predictions fail.

The framework, developed primarily by Karl Friston as the Free Energy Principle, is ambitious: it claims to unify perception, action, attention, and learning under a single mathematical principle (variational free energy minimisation). In its most expansive form, action itself is prediction — rather than updating beliefs to match the world, the agent changes the world to match its beliefs.

Predictive processing is the current leading candidate for a general theory of the mind in Cognitive Science. Whether it solves the Hard Problem of Consciousness or elegantly sidesteps it is a matter of active dispute. The mathematical machinery describes what computations occur; it does not explain why those computations are experienced as anything at all. This is either a temporary gap or a permanent one, depending on your philosophical commitments. Proponents tend not to dwell on the question.