PhilSci Archive

Explanatory Integration, Computational Phenotypes and Dimensional Psychiatry. The case of alcohol use disorder

Colombo, Matteo and Heinz, Andreas (2019) Explanatory Integration, Computational Phenotypes and Dimensional Psychiatry. The case of alcohol use disorder. [Preprint]

[img]
Preview
Text
dimensional-psy-and-explanatory-integration-anonymous-final.pdf

Download (565kB) | Preview

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.


Export/Citation: EndNote | BibTeX | Dublin Core | ASCII/Text Citation (Chicago) | HTML Citation | OpenURL
Social Networking:
Share |

Item Type: Preprint
Creators:
CreatorsEmailORCID
Colombo, Matteom.colombo@uvt.nl
Heinz, Andreas
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
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
Date: July 2019
URI: http://philsci-archive.pitt.edu/id/eprint/16204

Monthly Views for the past 3 years

Monthly Downloads for the past 3 years

Plum Analytics

Actions (login required)

View Item View Item