Evidence map›Paper›PMID 34880264›Full record

ArticleScientific reports2021

The evolution of moral rules in a model of indirect reciprocity with private assessment.

Cedric Perret, Marcus Krellner, The Anh Han

Abstract read
In one paragraph

Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

  1. Article
  2. Article
  3. Indirect reciprocity under opinion synchronization.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  4. Article
  5. Article
  6. Computational evolution of social norms in well-mixed and group-structured populations.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  7. Article
  8. A mechanistic model of gossip, reputations, and cooperation.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Employing AI to Better Understand Our Morals.Entropy (Basel, Switzerland) · 2021
    Article
  14. 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

3 authors.

Cedric PerretTeesside University, Southfield Rd, Middlesbrough, TS1 3BX, UK. cedric.perret.research@gmail.com.
Marcus KrellnerTeesside University, Southfield Rd, Middlesbrough, TS1 3BX, UK.
The Anh HanTeesside University, Southfield Rd, Middlesbrough, TS1 3BX, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Moral rules allow humans to cooperate by indirect reciprocity. Yet, it is not clear which moral rules best implement indirect reciprocity and are favoured by natural selection. Previous studies either considered only public assessment, where individuals are deemed good or bad by all others, or compared a subset of possible strategies. Here we fill this gap by identifying which rules are evolutionary stable strategies (ESS) among all possible moral rules while considering private assessment. We develop an analytical model describing the frequency of long-term cooperation, determining when a strategy can be invaded by another. We show that there are numerous ESSs in absence of errors, which however cease to exist when errors are present. We identify the underlying properties of cooperative ESSs. Overall, this paper provides a first exhaustive evolutionary invasion analysis of moral rules considering private assessment. Moreover, this model is extendable to incorporate higher-order rules and other processes.

Indexed as

Cooperative BehaviorMoralsBiological EvolutionHumansInterpersonal RelationsSelection, Genetic

Identifiers

PMID34880264
PMCPMC8654852

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.