Evidence map›Paper›PMID 38990982›Full record

ArticlePLoS computational biology2024

Reinforcement learning of altruistic punishment differs between cultures and across the lifespan.

Ziyan Guo, Jialu Yu, Wenxin Wang, Patricia Lockwood, Zhen Wu

Abstract read
In one paragraph

Article in PLoS computational biology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Article
  2. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Ziyan GuoDepartment of Psychological and Cognitive Sciences, Tsinghua University, Beijing, China.
Jialu YuDepartment of Psychological and Cognitive Sciences, Tsinghua University, Beijing, China.
Wenxin WangDepartment of Psychological and Cognitive Sciences, Tsinghua University, Beijing, China.
Patricia LockwoodCentre for Human Brain Health and Institute for Mental Health, School of Psychology, University of Birmingham, Birmingham, United Kingdom.
Zhen WuDepartment of Psychological and Cognitive Sciences, Tsinghua University, Beijing, China.ORCID 0000-0003-3655-1069

Funding

National Natural Science Foundation of China 32271110Tsinghua University Initiative Scientific Research Program 20235080047
6 · The paper itself

Abstract

Altruistic punishment is key to establishing cooperation and maintaining social order, yet its developmental trends across cultures remain unclear. Using computational reinforcement learning models, we provided the first evidence of how social feedback dynamically influences group-biased altruistic punishment across cultures and the lifespan. Study 1 (n = 371) found that Chinese participants exhibited higher learning rates than Americans when socially incentivized to punish unfair allocations. Additionally, Chinese adults showed slower learning and less exploration when punishing ingroups than outgroups, a pattern absent in American counterparts, potentially reflecting a tendency towards ingroup favoritism that may contribute to reinforcing collectivist values. Study 2 (n = 430, aged 12-52) further showed that such ingroup favoritism develops with age. Chinese participants' learning rates for ingroup punishment decreased from adolescence into adulthood, while outgroup rates stayed constant, implying a process of cultural learning. Our findings highlight cultural and age-related variations in altruistic punishment learning, with implications for social reinforcement learning and culturally sensitive educational practices promoting fairness and altruism.

Indexed as

AltruismPunishmentAdolescentAdultChildChinaComputational BiologyCross-Cultural ComparisonFemaleHumansLearningMaleMiddle AgedReinforcement, PsychologyUnited StatesYoung Adult

Identifiers

PMID38990982
PMCPMC11288421

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.