Prediction Error Minimization as a Framework for Social Cognition Research

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.