Evidence map›Paper›PMID 29451899›Full record

ArticlePloS one2018

Cooperation enhanced by the coevolution of teaching activity in evolutionary prisoner's dilemma games with voluntary participation.

Chen Shen, Chen Chu, Yini Geng, Jiahua Jin, Fei Chen, Lei Shi

Abstract read
In one paragraph

Article in PloS one, 2018. 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

6 authors.

Chen ShenSchool of Statistics and Mathematics, Yunnan University of Finance and Economics, Kunming, Yunnan, PR China.
Chen ChuSchool of Statistics and Mathematics, Yunnan University of Finance and Economics, Kunming, Yunnan, PR China.
Yini GengSchool of Statistics and Mathematics, Yunnan University of Finance and Economics, Kunming, Yunnan, PR China.
Jiahua JinSchool of Statistics and Mathematics, Yunnan University of Finance and Economics, Kunming, Yunnan, PR China.
Fei ChenSchool of Statistics and Mathematics, Yunnan University of Finance and Economics, Kunming, Yunnan, PR China.
Lei ShiSchool of Statistics and Mathematics, Yunnan University of Finance and Economics, Kunming, Yunnan, PR China.ORCID 0000-0003-1203-9984

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Voluntary participation, as an additional strategy involved in repeated games, has been proved to be an efficient way to promote the evolution of cooperation theoretically and empirically. Besides, current studies show that the coevolution of teaching activity can promote cooperation. Thus, inspired by aforementioned above, we investigate the effect of coevolution of teaching activity on the evolution of cooperation for prisoner's dilemma game with voluntary participation: when the focal player successfully enforces its strategy on the opponent, his teaching ability will get an increase. Through numerical simulation, we have shown that voluntary participation could effectively promote the fraction of cooperation, which is also affected by the value of increment. Furthermore, we investigate the influence of the increment value on the density of different strategies and find that there exists an optimal increment value that plays an utmost role on the evolutionary dynamics. With regard to this observation, we unveil that an optimal value of increment can lead to strongest heterogeneity in agents' teaching ability, further promoting the evolution of cooperation.

Indexed as

Cooperative BehaviorGame TheoryInterpersonal RelationsModels, PsychologicalPrisoner DilemmaTeachingHumans

Identifiers

PMID29451899
PMCPMC5815606

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.