Differential reward learning for self and others predicts self-reported altruism.

Published

Journal Article

In social environments, decisions not only determine rewards for oneself but also for others. However, individual differences in pro-social behaviors have been typically studied through self-report. We developed a decision-making paradigm in which participants chose from card decks with differing rewards for themselves and charity; some decks gave similar rewards to both, while others gave higher rewards for one or the other. We used a reinforcement-learning model that estimated each participant's relative weighting of self versus charity reward. As shown both in choices and model parameters, individuals who showed relatively better learning of rewards for charity--compared to themselves--were more likely to engage in pro-social behavior outside of a laboratory setting indicated by self-report. Overall rates of reward learning, however, did not predict individual differences in pro-social tendencies. These results support the idea that biases toward learning about social rewards are associated with one's altruistic tendencies.

Full Text

Duke Authors

Cited Authors

  • Kwak, Y; Pearson, J; Huettel, SA

Published Date

  • January 2014

Published In

Volume / Issue

  • 9 / 9

Start / End Page

  • e107621 -

PubMed ID

  • 25215883

Pubmed Central ID

  • 25215883

Electronic International Standard Serial Number (EISSN)

  • 1932-6203

International Standard Serial Number (ISSN)

  • 1932-6203

Digital Object Identifier (DOI)

  • 10.1371/journal.pone.0107621

Language

  • eng