Social learning across adolescence: A Bayesian neurocognitive perspective

• Published in: Developmental cognitive neuroscience Vol. 58; p. 101151
• Main Authors: Hofmans, Lieke, van den Bos, Wouter
• Format: Journal Article
• Language: English
• Published: Netherlands Elsevier Ltd 01.12.2022; Elsevier
• Subjects: Adolescence; Adolescent; Bayes Theorem; Bayesian reinforcement learning; Brain; Decision Making; Development; Humans; Influence; Original Research; Reinforcement, Psychology; Reward; Social Learning; Uncertainty; Development; Bayesian reinforcement learning; Adolescence; Influence; Uncertainty; Social learning
• ISSN: 1878-9293; 1878-9307
• DOI: 10.1016/j.dcn.2022.101151

Adolescence is a period of social re-orientation in which we are generally more prone to peer influence and the updating of our beliefs based on social information, also called social learning, than in any other stage of our life. However, how do we know when to use social information and whose information to use and how does this ability develop across adolescence? Here, we review the social learning literature from a behavioral, neural and computational viewpoint, focusing on the development of brain systems related to executive functioning, value-based decision-making and social cognition. We put forward a Bayesian reinforcement learning framework that incorporates social learning about value associated with particular behavior and uncertainty in our environment and experiences. We discuss how this framework can inform us about developmental changes in social learning, including how the assessment of uncertainty and the ability to adaptively discriminate between information from different social sources change across adolescence. By combining reward-based decision-making in the domains of both informational and normative influence, this framework explains both negative and positive social peer influence in adolescence.