claim
active
claim:meditation-can-be-understood-as-training-the-system-to-dynamically-modulate-its-own-model-by-loosening-rigid-priors-and-becoming-more-attuned-to-temporally-thin-data

Meditation can be understood as training the system to dynamically modulate its own model by loosening rigid priors and becoming more attuned to temporally thin data

Computational interpretation of meditation practice in active inference terms, bridging contemplative and AI frameworks

Source paper

extracted_from
Contemplative Agent
(2025) · Ruben Laukkonen · Fionn Inglis · Shamil Chandaria · Lars Sandved-Smith +4

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