Cognitive Drive Architecture: Derivation and Validation of Lagun’s Law for Modeling Volitional Effort

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Abstract

Cognitive Drive Architecture (CDA) is proposed as a novel field within cognitive psychology, advancing structural explanations of volitional effort beyond trait-based or correlational accounts. Its foundational theory, Lagunian Dynamics, specifies that Drive emerges from interactions among six mechanistic variables: Primode (ignition threshold), Cognitive Activation Potential (motivational voltage), Flexion (task adaptability), Anchory (attentional stabilization), Grain (resistive friction), and Slip (structural entropy). These variables are integrated into Lagun’s Law, a canonical equation derived from first principles inspired by structural mechanics, defining Drive as a dimensionally consistent dynamic system property rather than a descriptive state. This study empirically tested Lagun’s Law using a large educational dataset (N ≈ 480) by mapping behavioral proxies to the six variables. Multiple regression and structural equation modeling revealed significant predictive roles for ignition readiness, motivational voltage, and stabilizing versus resistive factors, consistent with the theorized pathways. These results support CDA as a testable and integrative field for explaining effort regulation, bridging motivational, attentional, executive, and educational research. Overall, this study positions CDA and Lagunian Dynamics as promising scientific foundations for a structural, mechanistic science of Drive, providing explanatory precision comparable to cognitive architecture models while uniquely addressing the volitional dimension of human performance.

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