Bridge to Contemplative Research
Critical Attention Systems explores how computational models of adaptive regulation can offer new ways to understand attention, stability, disturbance, and training in contemplative practice.This work asks whether concepts such as attentional stability, recovery from disturbance, and reduced reactivity can be studied with computational tools while remaining careful, modest, and respectful of contemplative traditions.
1. Attention as RegulationAttention is not only a matter of where the mind looks. It can also be understood as a stabilizing process — a way of shaping how disturbances enter, spread through, and affect a system.From this perspective, attention is regulatory. It helps determine whether a disturbance grows, fades, or is integrated without destabilizing the whole agent.⸻2. Practice as Adaptive TrainingContemplative practice can be viewed as a form of adaptive training.Through repeated cycles of regulation, switching, recovery, and reduced reactivity, the system may become less easily disrupted over time.This offers a computational way to think about themes such as mindfulness practice, jhāna training, and the weakening of hindrances — not as proof of Buddhist doctrine, but as possible dynamics of trained attention.⸻3. A Research Bridge, Not a DoctrineThese models are computational tools, not metaphysical claims.The goal is not to reduce contemplative traditions to artificial intelligence, nor to use artificial intelligence to validate Buddhism. The goal is more modest: to ask whether models of regulation, disturbance, stability, and adaptive attention can provide useful language for dialogue between artificial intelligence, cognitive science, and contemplative studies.← Back to Critical Attention Systems