ReviewPhilosophical transactions of the Royal Society of London. Series B, Biological sciences2018
Generative inference for cultural evolution.
Review in Philosophical transactions of the Royal Society of London. Series B, Biological sciences, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.
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Who cites it
24 citing papers in PubMed.
- Slovotvir: Grassroots reform of the Ukrainian language reveals the role of drift and selection in language change.PNAS nexus · 2026Article
- On the transmission of texts: Written cultures as complex systems.PNAS nexus · 2026Article
- Cultural evolution - of the arts.Evolutionary human sciences · 2026Article
- Why did the human brain size evolve? A way forward.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2025Article
- The growing methodological toolkit for identifying and studying social learning and culture in non-human animals.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2025Review
- Computational Genomics and Its Applications to Anthropological Questions.American journal of biological anthropology · 2024Review
- Bridging theory and data: A computational workflow for cultural evolution.Proceedings of the National Academy of Sciences of the United States of America · 2024Article
- Half a century of quantitative cultural evolution.Proceedings of the National Academy of Sciences of the United States of America · 2024Article
- Strategic housing decisions and the evolution of urban settlements: optimality modelling and empirical application in Ulaanbaatar, Mongolia.Royal Society open science · 2024Article
- Collective incentives reduce over-exploitation of social information in unconstrained human groups.Nature communications · 2024Article
- Investigating environmental effects on phonology using diachronic models.Evolutionary human sciences · 2024Article
- Beyond collective intelligence: Collective adaptation.Journal of the Royal Society, Interface · 2023Review
- Effective population size for culturally evolving traits.PLoS computational biology · 2022Article
- Coevolution of relative brain size and life expectancy in parrots.Proceedings. Biological sciences · 2022Article
- The uses and abuses of tree thinking in cultural evolution.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2021Review
- Foraging zebra finches (Biology letters · 2021Article
- The Neolithic Demographic Transition in the Central Balkans: population dynamics reconstruction based on new radiocarbon evidence.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2021Article
- The shortlist effect: nestedness contributions as a tool to explain cultural success.Evolutionary human sciences · 2021Article
- Dynamic social learning in temporally and spatially variable environments.Royal Society open science · 2020Article
- Cultural linkage: the influence of package transmission on cultural dynamics.Proceedings. Biological sciences · 2019Article
Corrections and comments
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Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
One of the major challenges in cultural evolution is to understand why and how various forms of social learning are used in human populations, both now and in the past. To date, much of the theoretical work on social learning has been done in isolation of data, and consequently many insights focus on revealing the learning processes or the distributions of cultural variants that are expected to have evolved in human populations. In population genetics, recent methodological advances have allowed a greater understanding of the explicit demographic and/or selection mechanisms that underlie observed allele frequency distributions across the globe, and their change through time. In particular, generative frameworks-often using coalescent-based simulation coupled with approximate Bayesian computation (ABC)-have provided robust inferences on the human past, with no reliance on
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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.