Evidence map›Paper›PMID 40202894›Full record

ArticleJournal of the Royal Society, Interface2025

Evolutionary dynamics of trust in hierarchical populations with varying investment strategies.

Chen Zhou, Yuying Zhu, Chengyi Xia, Manuel Chica

Abstract read
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. 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

4 authors.

Chen ZhouSchool of Control Science and Engineering, Tiangong University, Tianjin 300387, People's Republic of China.
Yuying ZhuSchool of Artificial Intelligence, Tiangong University, Tianjin 300387, People's Republic of China.
Chengyi XiaSchool of Artificial Intelligence, Tiangong University, Tianjin 300387, People's Republic of China.ORCID 0000-0003-2686-5072
Manuel ChicaDepartment of Computer Science and Artificial Intelligence, DaSCI'Data Science and Computational Intelligence', University of Granada, Granada 18071, Spain.

Funding

Investigacion e Innovacion (Andalusian Government) under the Emergia grantNational Natural Science Foundation of ChinaNatural Science Foundation of Tianjin Municipality
6 · The paper itself

Abstract

Trust is one of the fundamental elements in the development of human societies, which can be modelled on the trust game. In the traditional trust game, investors decide whether to invest or not, and trustees choose whether to be trustworthy or not. In this study, we differentiate between investors and trustees and assume that strategy imitation only happens among individuals of the same class, in which their ratios remain constant. Trustees can choose to be either trustworthy or untrustworthy, while investors decide between an active and a conservative investment strategies based on environmental factors. Here, the environmental factor is closely related to the number of trustworthy trustees within the group. Applying evolutionary game theory, we investigate behavioural changes in the [Formula: see text]-player trust game when environmental factors are introduced. Our findings indicate that investors can form effective coalitions with trustworthy trustees, thereby excluding untrustworthy ones. Furthermore, we validate the robustness of our model and reveal that different investment behaviours have different advantages under specific environmental conditions. This study highlights the subtle interplay between trust and investment dynamics in different environments, providing new insights into the mechanisms of trust in socioeconomic systems, which has some practical significance.

Indexed as

Game TheoryInvestmentsTrustHumansactive investorsconservative investorsenvironmental thresholdevolutionary game theoryhierarchical populationN-player trust game

Identifiers

PMID40202894
PMCPMC11981006

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.