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Computational Modelling for Alcohol Use Disorder.
- Source :
- Erkenntnis; Jan2024, Vol. 89 Issue 1, p271-291, 21p
- Publication Year :
- 2024
-
Abstract
- In this paper, I examine Reinforcement Learning (RL) modelling practice in psychiatry, in the context of alcohol use disorders. I argue that the epistemic roles RL currently plays in the development of psychiatric classification and search for explanations of clinically relevant phenomena are best appreciated in terms of Chang's (2004) account of epistemic iteration, and by distinguishing mechanistic and aetiological modes of computational explanation. [ABSTRACT FROM AUTHOR]
- Subjects :
- ALCOHOLISM
REINFORCEMENT learning
CLASSIFICATION of mental disorders
Subjects
Details
- Language :
- English
- ISSN :
- 01650106
- Volume :
- 89
- Issue :
- 1
- Database :
- Complementary Index
- Journal :
- Erkenntnis
- Publication Type :
- Academic Journal
- Accession number :
- 175138569
- Full Text :
- https://doi.org/10.1007/s10670-022-00533-x