Evidence map›Paper›PMID 26400015›Full record

ArticleNature communications2015

The foundations of the human cultural niche.

Maxime Derex, Robert Boyd

Abstract read
In one paragraph

Article in Nature communications, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers.

0numbers the graph read from it
0cells of the map it votes in
34citing 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

34 citing papers in PubMed.

  1. The Evolutionary-Ecological Basis of Xenophilia.Human nature (Hawthorne, N.Y.) · 2026
    Article
  2. Semantic knowledge guides innovation and drives cultural evolution.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  3. Article
  4. Article
  5. Article
  6. Trade-offs, control conditions, and alternative designs in the experimental study of cultural evolution.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Review
  7. Article
  8. Organizational Development as Generative Entrenchment.Entropy (Basel, Switzerland) · 2022
    Review
  9. Human cumulative culture and the exploitation of natural phenomena.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2022
    Article
  10. The emergence of collective knowledge and cumulative culture in animals, humans and machines.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2022
    Article
  11. Article
  12. Human biases limit cumulative innovation.Proceedings. Biological sciences · 2021
    Article
  13. Cultural evolution and prehistoric demography.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2021
    Review
  14. Adaptive social networks promote the wisdom of crowds.Proceedings of the National Academy of Sciences of the United States of America · 2020
    Article
  15. Article
  16. Article
  17. Article
  18. Increasing population size can inhibit cumulative cultural evolution.Proceedings of the National Academy of Sciences of the United States of America · 2019
    Article
  19. Article
  20. 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

2 authors.

Maxime DerexInstitute of Human Origins, Arizona State University, Tempe, Arizona 85287, USA.ORCID http://orcid.org/0000-0002-1512-6496
Robert BoydInstitute of Human Origins, Arizona State University, Tempe, Arizona 85287, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Technological innovations have allowed humans to settle in habitats for which they are poorly suited biologically. However, our understanding of how humans produce complex technologies is limited. We used a computer-based experiment, involving humans and learning bots, to investigate how reasoning abilities, social learning mechanisms and population structure affect the production of virtual artefacts. We found that humans' reasoning abilities play an important role in the production of innovations, but that groups of individuals are able to produce artefacts that are more complex than any isolated individual can produce during the same amount of time. We show that this group-level ability to produce complex innovations is maximized when social information is easy to acquire and when individuals are organized into large and partially connected populations. These results suggest that the transition to behavioural modernity could have been triggered by a change in ancestral between-group interaction patterns.

Indexed as

CultureInventionsMachine LearningSocial BehaviorSocial LearningAdolescentAdultFemaleGroup ProcessesHumansLearningMaleYoung Adult

Identifiers

PMID26400015
PMCPMC4598620

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.