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The propensity to focus attention inwards is fundamental to human mental life and internally-directed cognition (IDC) [e.g., mindwandering, (mal)adaptive self-reflection]. Yet, understanding of the mechanisms through which internal attention shapes IDC is limited. We argue that understanding the systemic  complexity  and  dynamics of how internal attention interacts with other cognitive processes  can significantly facilitate our capacity to predict and model (mal)adaptive IDC. We, therefore, introduce the Attention-to-Thoughts model—a dynamic systems theory and computational model of internal attention in IDC. Through the model we aim to, first, conceptually and computationally define  momentary states  of this dynamic system; second, simulate and predict differential temporal  trajectories  of this dynamic system through which IDC emerges. Through experimental simulations, we explore how Attention-to-Thoughts may be used to better understand how internal attention selection is expressed from moment-to-moment; how internal attention unfolds by documenting how, as a function of contextual demands for focused attention, internal attentional selection iteratively transacts with working-memory and emotion; and, in turn, how maladaptive IDC (e.g., repetitive negative thinking, cognitive dyscontrol) emerges from temporal trajectories of the dynamic system of internal attention. Finally, we highlight key conceptual, computational, and methodological directions for the study of internal attention, IDC, and related phenomena (e.g., mindfulness).

Dynamics of Internal Attention and Internally-Directed Cognition: The Attention-to-Thoughts (A2T) Model