Constraint and Access in Human Functioning: A Testable Control Architecture of Neuroceptive State and Behavioral Output

This preprint introduces a constraint-based control architecture of human functioning that explains variability in performance as a function of functional access under dynamic system conditions rather than ability alone. The framework specifies how afferent input is evaluated through neuroceptive processes and organized into internal configuration variables, including signal salience, monitoring load, and executive access. These variables determine system state and govern access to cognitive, emotional, and behavioral functions. Performance variability is modeled as the result of changing relationships between capacity and load, with constraint emerging when constructed demand approaches or exceeds available capacity. The architecture is presented as a testable systems model, not a comprehensive theory of behavior. A corresponding measurement system (Instrumentation and Data Architecture; IDA) and a pilot experimental validation protocol are included as supplementary materials to support operationalization and empirical testing. This work is intended to provide a unified, system-level framework for understanding and investigating variability in functional access across cognitive, clinical, and educational contexts.