Colombo, Matteo and Heinz, Andreas (2019) Explanatory Integration, Computational Phenotypes and Dimensional Psychiatry. The case of alcohol use disorder. [Preprint]
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Abstract
We compare three theoretical frameworks for pursuing explanatory integration in psychiatry: a new dimensional framework grounded in the notion of computational phenotype, a mechanistic framework, and a network of symptoms framework. Considering the phenomenon of alcoholism, we argue that the dimensional framework is the best for effectively integrating computational and mechanistic explanations with phenomenological analyses.
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| Item Type: | Preprint | |||||||||
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| Keywords: | alcoholism; computational phenotype; dimensional psychiatry; explanatory integration; mechanism; network of symptoms | |||||||||
| Subjects: | Specific Sciences > Cognitive Science > Computation General Issues > Explanation Specific Sciences > Medicine > Psychiatry |
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| Depositing User: | Dr. Matteo Colombo | |||||||||
| Date Deposited: | 11 Jul 2019 04:36 | |||||||||
| Last Modified: | 11 Jul 2019 04:36 | |||||||||
| Item ID: | 16204 | |||||||||
| Subjects: | Specific Sciences > Cognitive Science > Computation General Issues > Explanation Specific Sciences > Medicine > Psychiatry |
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| Date: | July 2019 | |||||||||
| URI: | https://philsci-archive.pitt.edu/id/eprint/16204 |
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