ArticleJournal of the Royal Society, Interface2015
A generative inference framework for analysing patterns of cultural change in sparse population data with evidence for fashion trends in LBK culture.
Article in Journal of the Royal Society, Interface, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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12 citing papers in PubMed.
- The cultural transmission of Ongagawa style pottery in the prehistoric Japan: quantitative analysis on three-dimensional data of archaeological pottery in the early Yayoi period.Journal of the Royal Society, Interface · 2025Article
- Bridging theory and data: A computational workflow for 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
- The interplay between age structure and cultural transmission.PLoS computational biology · 2023Article
- Neutral syndrome.Nature human behaviour · 2020Review
- Classifying evolutionary forces in language change using neural networks.Evolutionary human sciences · 2020Article
- Conformity bias in the cultural transmission of music sampling traditions.Royal Society open science · 2019Article
- Cultural conformity generates extremely stable traditions in bird song.Nature communications · 2018Article
- Generative inference for cultural evolution.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2018Review
- Inferring processes of cultural transmission: the critical role of rare variants in distinguishing neutrality from novelty biases.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2017Article
- Inferring individual-level processes from population-level patterns in cultural evolution.Royal Society open science · 2017Article
- Revealing patterns of cultural transmission from frequency data: equilibrium and non-equilibrium assumptions.Scientific reports · 2016Article
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2 authors.
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Abstract
Cultural change can be quantified by temporal changes in frequency of different cultural artefacts and it is a central question to identify what underlying cultural transmission processes could have caused the observed frequency changes. Observed changes, however, often describe the dynamics in samples of the population of artefacts, whereas transmission processes act on the whole population. Here we develop a modelling framework aimed at addressing this inference problem. To do so, we firstly generate population structures from which the observed sample could have been drawn randomly and then determine theoretical samples at a later time t2 produced under the assumption that changes in frequencies are caused by a specific transmission process. Thereby we also account for the potential effect of time-averaging processes in the generation of the observed sample. Subsequent statistical comparisons (e.g. using Bayesian inference) of the theoretical and observed samples at t2 can establish which processes could have produced the observed frequency data. In this way, we infer underlying transmission processes directly from available data without any equilibrium assumption. We apply this framework to a dataset describing pottery from settlements of some of the first farmers in Europe (the LBK culture) and conclude that the observed frequency dynamic of different types of decorated pottery is consistent with age-dependent selection, a preference for 'young' pottery types which is potentially indicative of fashion trends.
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