Biology & Philosophy

, Volume 29, Issue 1, pp 71–88

Two neurocomputational building blocks of social norm compliance

Article

DOI: 10.1007/s10539-013-9385-z

Cite this article as:
Colombo, M. Biol Philos (2014) 29: 71. doi:10.1007/s10539-013-9385-z

Abstract

Current explanatory frameworks for social norms pay little attention to why and how brains might carry out computational functions that generate norm compliance behavior. This paper expands on existing literature by laying out the beginnings of a neurocomputational framework for social norms and social cognition, which can be the basis for advancing our understanding of the nature and mechanisms of social norms. Two neurocomputational building blocks are identified that might constitute the core of the mechanism of norm compliance. They consist of Bayesian and reinforcement learning systems. It is sketched why and how the concerted activity of these systems can generate norm compliance by minimization of three specific kinds of prediction-errors.

Keywords

Social norms Bayesian brain Reinforcement learning Uncertainty minimization 

Copyright information

© Springer Science+Business Media Dordrecht 2013

Authors and Affiliations

  1. 1.Tilburg Center for Logic and Philosophy of ScienceTilburg UniversityTilburgThe Netherlands

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