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Stochasticity in cultural evolution: a revolution yet to happen
Sylvain Billiard1,2, Alexandra Alvergne3
1Univ. Lille, CNRS, UMR 8198, Evo-Eco-Paleo, 59000, Lille, France. sylvain.billiard@univ-lille1.fr.
History and Philosophy of the Life Sciences
|November 29, 2017
Summary
Cultural evolution research needs to incorporate chance events. Developing new stochastic models tailored for cultural data, rather than copying from genetics, is crucial for advancing the field.
Area of Science:
- Anthropology
- Archaeology
- Cultural Evolution
Background:
- Cultural evolution research has expanded significantly over the past 40 years.
- Studies focus on how individual interactions shape group-level patterns and cultural trait diversity.
- Current models often overlook the role of chance, focusing primarily on deterministic processes like transmission biases.
Purpose of the Study:
- To highlight the limited discussion of stochasticity in cultural evolution compared to other evolutionary sciences.
- To explore ideological and methodological reasons for this oversight.
- To advocate for a "stochastic revolution" in cultural evolution research.
Main Methods:
- Comparative analysis of stochasticity discussions in cultural evolution versus ecology and population genetics.
- Speculative analysis of ideological and methodological barriers.
- Critique of genetically-inspired stochastic models for cultural data.
Main Results:
- Stochasticity has received minimal attention in cultural evolution research.
- Ideological and methodological factors contribute to this gap.
- Existing stochastic models from other fields are inadequate for cultural evolution.
Conclusions:
- Cultural evolution would benefit from a systematic approach to stochastic processes.
- New stochastic models must be specifically developed for cultural data.
- Adopting "copy-pasted" models from population genetics is insufficient.
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