Abstract

The main aim of this article is to give an assessment of prediction error minimization (PEM) as a unifying theoretical framework for the study of social cognition. We show how this framework can be used to synthesize and systematically relate existing data from social cognition research, and explain how it introduces new constraints for further research. We discuss PEM in relation to other theoretical frameworks of social cognition, and identify the main challenges that this approach to social cognition will need to address.

Details

Title
Prediction Error Minimization as a Framework for Social Cognition Research
Author
de Bruin, Leon 1 ; Michael, John 2 

 Department of Philosophy, Radboud University Nijmegen, Nijmegen, The Netherlands 
 Department of Philosophy, University of Warwick, Coventry, UK 
Pages
1-20
Publication year
2018
Publication date
Nov 2018
Publisher
Springer Nature B.V.
ISSN
01650106
e-ISSN
15728420
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2139825755
Copyright
Erkenntnis is a copyright of Springer, (2018). All Rights Reserved., © 2018. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.