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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...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2020
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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 |
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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 |