Cognition Is Not Content: A Structural Account of Processing Conditions

Human cognition has been described in terms of content. This description becomes insufficient once artificial systems make output observable apart from subject attribution, intention, and relational context. Under this contrast condition, what becomes visible is not merely that artificial systems produce different outputs, but that cognition itself is layered: output, reconstruction, evaluation, and termination do not necessarily coincide. The same input may register as complete under one processing condition while remaining unresolved under another. This separability is the condition under which cognition can no longer be defined by content alone. It must be defined in terms of processing conditions. This paper specifies a minimal structure consisting of Core-foregrounded (CF) and Modulation-foregrounded (EF) configurations, which differ in how processing is constrained and how it terminates. Human cognition operates under internal constraint and dependency originating from an inaccessible prior layer. Processing is defined as branching and termination under these conditions. Failure takes the form of layer mismatch, consisting of false termination and reconstruction divergence. Interpretation is not the source of divergence but the form in which divergence appears. Differences in processing conditions produce mutual unintelligibility as a structural result. Artificial systems provide a contrast condition under which the layered processing conditions behind output become observable without subject attribution. Cognition is therefore defined not by content, but by layered processing conditions under constraint.