Why does human culture increase exponentially?
Abstract
Historical records show that culture can increase exponentially in time, e.g., in number of poems, musical works, scientific discoveries. We model how human capacities for creativity and cultural transmission may make such an increase possible, suggesting that: (1) creativity played a major role at the origin of human culture and for its accumulation throughout history, because cultural transmission cannot, on its own, generate exponentially increasing amounts of culture; (2) exponential increase in amount of culture can only occur if creativity is positively influenced by culture. The evolution of cultural transmission is often considered the main genetic bottleneck for the origin of culture, because natural selection cannot favor cultural transmission without any culture to transmit. Our models suggest that an increase in individual creativity may have been the first step toward human culture, because in a population of creative individuals there may be enough non-genetic information to favor the evolution of cultural transmission.
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The effectiveness of cultural accumulation can be attributed to the flexibility with which participants engage in social learning and independent discovery.
“Its effectiveness can be attributed to the flexibility with which participants engage in these two mechanisms [Enquist et al., 2008, Rendell et al., 2010, Mesoudi and Thornton, 2018].”
From Artificial Generational Intelligence: Cultural Accumulation in Reinforcement Learning (2024) · cites this paper as Enquist et al., 2008
Cites
Not By Genes Alone: How Culture Transformed Human Evolution
Richerson, P. J., & Boyd, R. (2004) · doi:10.7208/chicago/9780226712130.001.0001 · Cited by 2,793 · see citing works
Social intelligence, innovation, and enhanced brain size in primates
Reader, S. M., & Laland, K. N. (2002) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.062041299 · Cited by 1,126 · see citing works
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Cultural evolutionary theory: How culture evolves and why it matters
Creanza, N., Kolodny, O., & Feldman, M. W. (2017) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1620732114 · Cited by 482 · see citing works
Artificial Generational Intelligence: Cultural Accumulation in Reinforcement Learning
Cook, J., Lu, C., Hughes, E., Leibo, J. Z., & Foerster, J. (2024) · arXiv · doi:10.48550/arxiv.2406.00392 · Cited by 6 · see citing works
“Its effectiveness can be attributed to the flexibility with which participants engage in these two mechanisms [Enquist et al., 2008, Rendell et al., 2010, Mesoudi and Thornton, 2018].”
Background
- Authors
- Enquist, M., Ghirlanda, S., Jarrick, A., & Wachtmeister, C.-A.
- Affiliations
- Stockholm University (SE)
- Corresponding author
- Ghirlanda, S.
- Venue
- Theoretical Population Biology
- Publisher
- Elsevier BV
- Published
- 2008-08
- Volume
- 74
- Issue
- 1
- Pages
- 46-55
- ISSN
- 0040-5809 (ISSN-L)
- OpenAlex
- W2078276712
- Cited by
- 123
- References
- 2
- Citations by year
- 2026: 7 · 2025: 17 · 2024: 2 · 2023: 8 · 2022: 3 · 2021: 6 · 2020: 12 · 2019: 10 · 2018: 7 · 2017: 11 · 2016: 3 · 2015: 10 · 2014: 3 · 2013: 5 · 2012: 7
- FWCI
- 102.09
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Theoretical Population Biology (publishedVersion)
- PubMed (publishedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- Archivio istituzionale della ricerca (Alma Mater Studiorum Università di Bologna) (submittedVersion)
- Funders
- Harvard University
- European Commission
- Università di Bologna
- Marcus och Amalia Wallenbergs minnesfond
- Topics
- Social Sciences › Cultural Studies › Language and cultural evolution
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Evolutionary Psychology and Human Behavior
- Social Sciences › Anthropology › Pleistocene-Era Hominins and Archaeology
- Keywords
- human creativity, cultural transmission, cultural evolution, cultural accumulation, non-genetic inheritance
- MeSH terms
- Creativity, Culture, Biological Evolution, Humans, Models, Statistical
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