Metacognitive threshold: a computational account
Brendan Conway-Smith, Robert L. West
arXiv Preprint Archive October 14, 2023 via arXiv
Summary
AI-generated from the abstractThe paper examines how a metacognitive threshold—the minimum stimulus required for a mental state to become conscious—can be modeled computationally. It discusses cognitive mechanisms that may allow this threshold to be lowered through metacognitive training and meditation practices, suggesting that such interventions could enhance awareness of subtle mental events.
Study at a glance
| Characteristics | Theoretical or philosophical paper Peer reviewed |
|---|---|
| Interventions | Metacognitive training Meditation |
| Topics | Meditation |
| Keywords | Cs.oh Cs.ai Q-bio.nc Neuroscience Artificial-intelligence |
| Key finding | The metacognitive threshold can be computationally modeled and potentially influenced by metacognitive training and meditation. |
Abstract
This paper will explore ways of computationally accounting for the metacognitive threshold -- the minimum amount of stimulus needed for a mental state to be perceived -- and discuss potential cognitive mechanisms by which this threshold can be influenced through metacognitive training and meditation.