Payoff-based learning best explains the rate of decline in cooperation across 237 public-goods games.

Details

Serval ID
serval:BIB_C65A18EDD533
Type
Article: article from journal or magazin.
Collection
Publications
Institution
Title
Payoff-based learning best explains the rate of decline in cooperation across 237 public-goods games.
Journal
Nature human behaviour
Author(s)
Burton-Chellew M.N., West S.A.
ISSN
2397-3374 (Electronic)
ISSN-L
2397-3374
Publication state
Published
Issued date
10/2021
Peer-reviewed
Oui
Volume
5
Number
10
Pages
1330-1338
Language
english
Notes
Publication types: Journal Article ; Research Support, Non-U.S. Gov't
Publication Status: ppublish
Abstract
What motivates human behaviour in social dilemmas? The results of public goods games are commonly interpreted as showing that humans are altruistically motivated to benefit others. However, there is a competing 'confused learners' hypothesis: that individuals start the game either uncertain or mistaken (confused) and then learn from experience how to improve their payoff (payoff-based learning). Here we (1) show that these competing hypotheses can be differentiated by how they predict contributions should decline over time; and (2) use metadata from 237 published public goods games to test between these competing hypotheses. We found, as predicted by the confused learners hypothesis, that contributions declined faster when individuals had more influence over their own payoffs. This predicted relationship arises because more influence leads to a greater correlation between contributions and payoffs, facilitating learning. Our results suggest that humans, in general, are not altruistically motivated to benefit others but instead learn to help themselves.
Keywords
Altruism, Avoidance Learning, Cooperative Behavior, Game Theory, Humans, Motivation, Psychology, Social, Risk Assessment, Risk-Taking, Social Behavior, Uncertainty
Pubmed
Web of science
Create date
11/05/2021 13:18
Last modification date
03/02/2024 8:13
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