English
 
Help Privacy Policy Disclaimer
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT
  Computational psychiatry for computers

Schulz, E., & Dayan, P. (2020). Computational psychiatry for computers. iScience, 23(12): 101772, pp. 1-9. doi:10.1016/j.isci.2020.101772.

Item is

Basic

show hide
Genre: Journal Article

Files

show Files

Locators

show

Creators

show
hide
 Creators:
Schulz, E1, 2, Author              
Dayan, P2, 3, Author              
Affiliations:
1Research Group Computational Principles of Intelligence, Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_3189356              
2Max Planck Institute for Biological Cybernetics, Max Planck Society, Spemannstrasse 38, 72076 Tübingen, DE, ou_1497794              
3Department of Computational Neuroscience, Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_3017468              

Content

show
hide
Free keywords: -
 Abstract: 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.

Details

show
hide
Language(s):
 Dates: 2020-12
 Publication Status: Published online
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: DOI: 10.1016/j.isci.2020.101772
 Degree: -

Event

show

Legal Case

show

Project information

show

Source 1

show
hide
Title: iScience
Source Genre: Journal
 Creator(s):
Affiliations:
Publ. Info: Amsterdam ; Bosten ; London ; New York ; Oxford ; Paris ; Philadelphia ; San Diego ; St. Louis : Elsevier
Pages: - Volume / Issue: 23 (12) Sequence Number: 101772 Start / End Page: 1 - 9 Identifier: ISSN: 2589-0042
CoNE: https://pure.mpg.de/cone/journals/resource/2589-0042