Human behavior is characterized by a persistent empirical paradox: knowledge, skill, and awareness of consequences do not reliably translate into consistent action. This gap between knowledge and behavior has been explicitly defined at the institutional level, where increased awareness and information are shown to be insufficient to ensure adherence or consistent behavioral change (World Health Organization, Adherence to Long-Term Therapies, 2003; OECD, Behavioural Insights and Public Policy, 2017). Similar distinctions between knowledge, understanding, and action have long been recognized in foundational syntheses of learning and cognition (National Research Council, How People Learn, 2000/2018). The same individual may exhibit markedly different behavioral patterns under seemingly similar conditions, despite preserved cognitive capacity. This phenomenon has been described in psychology as self-regulation failure occurring even when relevant knowledge and abilities remain intact (Baumeister Baumeister et al., 2007). Converging evidence from cognitive control research further indicates that multiple task sets or action modes can be simultaneously available, with control shifting between them depending on context rather than loss of competence (Goschke, 2000; Hommel et al., 2011). In applied and high-pressure operational domains, performance degradation under stress is likewise reported despite preserved training and knowledge (NATO Science Dehaene et al., 2015). The organization of these resources into behavioral regimes is then examined, highlighting recognized limitations of single- and dual-regime models, which leave unresolved questions of control and arbitration between concurrently available systems (Evans & Stanovich, 2013). On this basis, a minimal multi-regime architecture is introduced as a necessary structural condition for stable yet adaptive behavior. Finally, the analysis demonstrates that, given parallel regimes and dynamic dominance, a higher-order regulatory layer is not optional but required to authorize, suspend, and transition behavioral control. Empirical findings are referenced solely to illustrate the practical manifestation of the identified architectural gap, not as validation of the proposed framework. By focusing on structural necessity rather than empirical proof, this work establishes a foundational architecture for understanding human behavior, upon which future operational, experimental, and applied studies may be systematically built.
Zvonko Vulicevic (Sun,) studied this question.