Evidence map›Paper›PMID 25843220›Full record

ArticleJournal of theoretical biology2015

Evolutionary performance of zero-determinant strategies in multiplayer games.

Christian Hilbe, Bin Wu, Arne Traulsen, Martin A Nowak

Abstract read
In one paragraph

Article in Journal of theoretical biology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. An Evolutionary Game-Theoretic Approach for Assessing Privacy Protection in mHealth Systems.International journal of environmental research and public health · 2018
    Article
  6. Article
  7. Evolutionary consequences of behavioral diversity.Proceedings of the National Academy of Sciences of the United States of America · 2016
    Article
  8. Article
  9. Article
  10. Autocratic strategies for iterated games with arbitrary action spaces.Proceedings of the National Academy of Sciences of the United States of America · 2016
    Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. 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.

Christian HilbeProgram for Evolutionary Dynamics, Harvard University, Cambridge MA 02138, USA. Electronic address: hilbe@fas.harvard.edu.
Bin WuDepartment of Evolutionary Theory, Max-Planck-Institute for Evolutionary Biology, August-Thienemann-Straße 2, 24306 Plön, Germany.
Arne TraulsenDepartment of Evolutionary Theory, Max-Planck-Institute for Evolutionary Biology, August-Thienemann-Straße 2, 24306 Plön, Germany.
Martin A NowakProgram for Evolutionary Dynamics, Harvard University, Cambridge MA 02138, USA; Department of Mathematics, Harvard University, Cambridge MA 02138, USA; Department of Organismic and Evolutionary Biology, Harvard University, Cambridge MA 02138, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Repetition is one of the key mechanisms to maintain cooperation. In long-term relationships, in which individuals can react to their peers׳ past actions, evolution can promote cooperative strategies that would not be stable in one-shot encounters. The iterated prisoner׳s dilemma illustrates the power of repetition. Many of the key strategies for this game, such as ALLD, ALLC, Tit-for-Tat, or generous Tit-for-Tat, share a common property: players using these strategies enforce a linear relationship between their own payoff and their co-player׳s payoff. Such strategies have been termed zero-determinant (ZD). Recently, it was shown that ZD strategies also exist for multiplayer social dilemmas, and here we explore their evolutionary performance. For small group sizes, ZD strategies play a similar role as for the repeated prisoner׳s dilemma: extortionate ZD strategies are critical for the emergence of cooperation, whereas generous ZD strategies are important to maintain cooperation. In large groups, however, generous strategies tend to become unstable and selfish behaviors gain the upper hand. Our results suggest that repeated interactions alone are not sufficient to maintain large-scale cooperation. Instead, large groups require further mechanisms to sustain cooperation, such as the formation of alliances or institutions, or additional pairwise interactions between group members.

Indexed as

Cooperative BehaviorGame TheoryBiological EvolutionComputer SimulationMarkov ChainsModels, StatisticalPrisoner DilemmaTime FactorsCooperationEvolutionary game theoryPublic goods gameRepeated gamesZero-determinant strategies

Identifiers

PMID25843220
PMCPMC4425415

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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.