Evidence map›Paper›PMID 40135506›Full record

ArticleJournal of the Royal Society, Interface2025

Evolution of trust in the

Yuyuan Liu, Lichen Wang, Ruqiang Guo, Shijia Hua, Linjie Liu, Liang Zhang, The Anh Han

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of the Royal Society, Interface, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Evolution of trust in theJournal of the Royal Society, Interface · 2025
    Article
  2. Article
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

7 authors.

Yuyuan LiuCollege of Science, Northwest A&F University, Yangling Shaanxi, People's Republic of China.ORCID 0009-0003-4681-582X
Lichen WangCollege of Science, Northwest A&F University, Yangling Shaanxi, People's Republic of China.
Ruqiang GuoCollege of Science, Northwest A&F University, Yangling Shaanxi, People's Republic of China.
Shijia HuaCollege of Science, Northwest A&F University, Yangling Shaanxi, People's Republic of China.
Linjie LiuCollege of Science, Northwest A&F University, Yangling Shaanxi, People's Republic of China.ORCID 0000-0003-0286-8885
Liang ZhangCollege of Science, Northwest A&F University, Yangling Shaanxi, People's Republic of China.
The Anh HanSchool of Computing, Engineering and Digital Technologies, Teesside University, Middlesbrough, UK.ORCID 0000-0002-3095-7714

Funding

National Natural Science Foundation of ChinaNatural Science Foundation of Shaanxi Province
6 · The paper itself

Abstract

Trust game is commonly used to study the evolution of trust among unrelated individuals. It offers valuable insights into human interactions in a range of disciplines, including economics, sociology and psychology. Previous research has revealed that reward and punishment systems can effectively promote the evolution of trust. However, these investigations overlook the gaming environment, leaving unresolved the optimal conditions for employing distinct incentives to effectively facilitate trust level. To bridge this gap, we introduce a transformation incentive mechanism in an

Indexed as

Game TheoryMotivationTrustHumansRewarddecision-makingMarkov decision processN-player trust gametransformation incentive mechanism

Identifiers

PMID40135506
PMCPMC11938300

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.