Evidence map›Paper›PMID 40644487›Full record

ArticlePloS one2025

Commitment & cooperation in social dilemmas with diverse individual preferences: An agent-based modeling approach.

Zheng Jiang, Luzhan Yuan, Wei Wang, Gaowei Zhang, Yi Wang

Abstract read
In one paragraph

Article in PloS one, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
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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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Zheng JiangSchool of Artificial Intelligence, Beijing University of Posts and Telecommunications, Beijing, China.ORCID https://orcid.org/0009-0002-7333-0265
Luzhan YuanSchool of Artificial Intelligence, Beijing University of Posts and Telecommunications, Beijing, China.
Wei WangSchool of Artificial Intelligence, Beijing University of Posts and Telecommunications, Beijing, China.
Gaowei ZhangSchool of Artificial Intelligence, Beijing University of Posts and Telecommunications, Beijing, China.
Yi WangSchool of Computer Science, Beijing University of Posts and Telecommunications, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Social dilemmas often arise when the need for cooperation conflicts with individuals' incentives to act in self-interest, potentially undermining collective well-being. Prior literature shows that some mechanisms, e.g., commitment, could give rise to cooperation. However, participants' diverse propensities to cooperate may limit such mechanisms' effectiveness. Thus, we bring individual differences in their propensities to cooperate into the reasoning of long-term social dynamics of cooperation through an agent-based modeling (ABM) approach. Our results suggest that commitment may still guarantee cooperation when individuals have different propensities to cooperate but have weaker effects, and the setups of commitment are also important. Our study highlights the importance of integrating individual preferences in analyzing collective dynamics of a population consisting of individuals of heterogeneous characteristics, thus offering implications to facilitate cooperation in real-world online social production. The model and its implementation also form the foundation for supporting decision-makers in forming decisions of facilitating cooperation via commitment mechanisms.

Indexed as

Cooperative BehaviorModels, TheoreticalDecision MakingGame TheoryHumansInterpersonal RelationsModels, Psychological

Identifiers

PMID40644487
PMCPMC12250522

What OpenQuestion holds

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LicenceCC BY
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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.