The Computational Mechanisms of Detached Mindfulness
Fuente:
arXiv
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| Main Authors: | , |
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| Format: | Preprint |
| Published: |
2024
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| Subjects: | |
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| _version_ | 1866908780122341376 |
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| author | Conway-Smith, Brendan West, Robert L. |
| author_facet | Conway-Smith, Brendan West, Robert L. |
| contents | This paper investigates the computational mechanisms underlying a type of metacognitive monitoring known as detached mindfulness, a particularly effective therapeutic technique within cognitive psychology. While research strongly supports the capacity of detached mindfulness to reduce depression and anxiety, its cognitive and computational underpinnings remain largely unexplained. We employ a computational model of metacognitive skill to articulate the mechanisms through which a detached perception of affect reduces emotional reactivity. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2409_15289 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | The Computational Mechanisms of Detached Mindfulness Conway-Smith, Brendan West, Robert L. Neurons and Cognition Artificial Intelligence This paper investigates the computational mechanisms underlying a type of metacognitive monitoring known as detached mindfulness, a particularly effective therapeutic technique within cognitive psychology. While research strongly supports the capacity of detached mindfulness to reduce depression and anxiety, its cognitive and computational underpinnings remain largely unexplained. We employ a computational model of metacognitive skill to articulate the mechanisms through which a detached perception of affect reduces emotional reactivity. |
| title | The Computational Mechanisms of Detached Mindfulness |
| topic | Neurons and Cognition Artificial Intelligence |
| url | https://arxiv.org/abs/2409.15289 |