Computational Modelling for Alcohol Use Disorder
نویسندگان
چکیده
Abstract In this paper, I examine Reinforcement Learning (RL) modelling practice in psychiatry, the context of alcohol use disorders. argue that epistemic roles RL currently plays development psychiatric classification and search for explanations clinically relevant phenomena are best appreciated terms Chang’s (2004) account iteration, by distinguishing mechanistic aetiological modes computational explanation.
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ژورنال
عنوان ژورنال: Erkenntnis
سال: 2022
ISSN: ['0165-0106', '1572-8420']
DOI: https://doi.org/10.1007/s10670-022-00533-x