Cargando…

Computational Psychiatry for Computers

Computational psychiatry is a nascent field that attempts to use multi-level analyses of the underlying computational problems that we face in navigating a complex, uncertain and changing world to illuminate mental dysfunction and disease. Two particular foci of the field are the costs and benefits...

Descripción completa

Detalles Bibliográficos
Autores principales: Schulz, Eric, Dayan, Peter
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7691174/
https://www.ncbi.nlm.nih.gov/pubmed/33294781
http://dx.doi.org/10.1016/j.isci.2020.101772
_version_ 1783614232602869760
author Schulz, Eric
Dayan, Peter
author_facet Schulz, Eric
Dayan, Peter
author_sort Schulz, Eric
collection PubMed
description Computational psychiatry is a nascent field that attempts to use multi-level analyses of the underlying computational problems that we face in navigating a complex, uncertain and changing world to illuminate mental dysfunction and disease. Two particular foci of the field are the costs and benefits of environmental adaptivity and the danger and necessity of heuristics. Here, we examine the extent to which these foci and others can be used to study the actual and potential flaws of the artificial computational devices that we are increasingly inventing and empowering to navigate this very same environment on our behalf.
format Online
Article
Text
id pubmed-7691174
institution National Center for Biotechnology Information
language English
publishDate 2020
publisher Elsevier
record_format MEDLINE/PubMed
spelling pubmed-76911742020-12-07 Computational Psychiatry for Computers Schulz, Eric Dayan, Peter iScience Review Computational psychiatry is a nascent field that attempts to use multi-level analyses of the underlying computational problems that we face in navigating a complex, uncertain and changing world to illuminate mental dysfunction and disease. Two particular foci of the field are the costs and benefits of environmental adaptivity and the danger and necessity of heuristics. Here, we examine the extent to which these foci and others can be used to study the actual and potential flaws of the artificial computational devices that we are increasingly inventing and empowering to navigate this very same environment on our behalf. Elsevier 2020-11-07 /pmc/articles/PMC7691174/ /pubmed/33294781 http://dx.doi.org/10.1016/j.isci.2020.101772 Text en © 2020 The Authors http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Review
Schulz, Eric
Dayan, Peter
Computational Psychiatry for Computers
title Computational Psychiatry for Computers
title_full Computational Psychiatry for Computers
title_fullStr Computational Psychiatry for Computers
title_full_unstemmed Computational Psychiatry for Computers
title_short Computational Psychiatry for Computers
title_sort computational psychiatry for computers
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7691174/
https://www.ncbi.nlm.nih.gov/pubmed/33294781
http://dx.doi.org/10.1016/j.isci.2020.101772
work_keys_str_mv AT schulzeric computationalpsychiatryforcomputers
AT dayanpeter computationalpsychiatryforcomputers