Unifying the ADHD Paradox: A Computational Model of Cognitive Specialization

Attention-Deficit/Hyperactivity Disorder (ADHD) is characterized by a paradoxical cognitive profile that includes both attentional inconsistency and the capacity for intense, sustained focus. This paper introduces a computational model that reframes this paradox not as a deficit, but as a specialized cognitive strategy. The model proceeds from the axiom that conscious thought is a serial process, positing that a constrained working memory (WM) necessitates a Depth-First Search (DFS)-like strategy for navigating a conceptual space. This architecture is modulated by an activation threshold that produces two distinct cognitive styles: a fast, opportunistic "Exploratory" agent and a slow, reliable "Methodical" agent. We test these two specialists across environments with varying levels of entropy, revealing a powerful Agent x Environment interaction. The Methodical agent excels as a high-entropy specialist, maintaining reliability in noisy conditions, while the Exploratory agent thrives as a low-entropy opportunist, capitalizing on environmental structure to achieve dramatic gains in effectiveness. This "goodness-of-fit" model suggests that these cognitive styles are not universally advantageous or disadvantageous, but reflect coherent ecological specializations.