Prediction Error Minimization as a Framework for Social Cognition Research

Leon de Bruin*, John Michael

*Corresponding author for this work

Research output: Contribution to JournalArticleAcademicpeer-review


The main aim of this article is to give an assessment of prediction error minimiza-tion (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 con-straints for further research. We discuss PEM in relation to other theoretical frame-works of social cognition, and identify the main challenges that this approach to social cognition will need to address.
Original languageEnglish
Pages (from-to)1-20
Number of pages20
Issue number1
Early online date30 Nov 2018
Publication statusPublished - Feb 2021


Dive into the research topics of 'Prediction Error Minimization as a Framework for Social Cognition Research'. Together they form a unique fingerprint.

Cite this