August 10, 2022

Computational Modelling for Alcohol Use Disorder

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.

August 10, 2022 at 05:36PM

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