Skip to main content
Log in

Demography and cultural complexity

  • The Cultural Evolution of Human Social Cognition
  • Published:
Synthese Aims and scope Submit manuscript

Abstract

This paper begins by calling attention to a puzzling feature of our deep past: an apparent mis-match between morphological evolution in our lineage, including the expansion of our brain and neocortex, and changes in material culture. Three ideas might explain this mis-match. (a) The apparent mis-match is an illusion: change in material culture is indeed driven by biological evolution, but of a kind difficult to identify in the fossil record; (b) the mismatch is caused by the fact that material culture is sensitive to the social and demographic environment, not just the native cognitive capacities of individual agents. Innovation and its uptake is more reliable in larger social worlds. (c) The mis-match is made possible by adaptive phenotypic plasticity; in particular, cognitive plasticity. Just as material culture evolves through cumulative cultural learning, so too do cognitive skills, including ones which make innovations in, and the transmission of, material culture more efficient. This paper is targeted on the second of these ideas, and distinguishes three different versions of the view that increases in social scale support increases in the complexity of material culture. Those are: (i) cultural selection is more efficient in larger social worlds; (ii) larger social worlds support more specialisation, which in turn supports a more complex material culture; (iii) cultural learning is more efficient in larger social worlds. The paper argues that the first two of these pathways are probably more important than the third in explaining otherwise puzzling features of the archaeological and ethnographic record.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

Notes

  1. A note on terminology. “Hominin” refers to all members of the lineage to which we belong, and which begins with the split between the lineage leading to the chimp species, and that with sapiens as its only living taxon. As do many others, I use ‘human” as an informal term for the recent, exceptionally large-brained hominins.

  2. Stone tool making is inevitably the centre of these discussions, in part for reasons of preservation, but also because it pose unique and difficult technical challenges (Hiscock 2014), and because these tools open up access to new resources and lifeways. Even simple flakes can cut through rhino hide (Schick and Toth 1993); good luck trying to chew through such hide with hominin teeth and claws.

  3. A possible exception is a link between the origins of our species and the inception of "Middle Stone Age", prepared-core technologies in Africa. This match depends on both taking the recent finds at Jebel Irhoud to represent the origins of Homo sapiens, and the site of Olorgesailie to represent the onset of the Middle Stone Age (see Deino et al. 2018). But even if this correlation proves robust (and there are claims of earlier prepared core techniques) the prepared core techniques characteristic of the MSA were not confined to sapiens populations; Neanderthals adopted these techniques too.

  4. These were found in the Iberian Peninsula and Southern France, dating to the Upper Palaeolithic, after the last glacial maximum (perhaps 21–18 kya). For some striking images, see http://www.lithiccastinglab.com/gallery-pages/2008januarysolutreanpage1.htm.

  5. Not all composite tools will be interdependent this way: it is quite likely that an arrow or spear hafted with multiple microliths will still penetrate if one of them breaks or breaks off.

  6. See (Andersson and Read 2016) for a clear and insightful exposition and discussion of the structure of this model.

  7. This the most favourable possible organisation of social learning, and one of the points of the analysis is to show that even in this most favourable situation, skills decay.

  8. As one of the referees pointed out, we might expect conformist learning to replace pay-off based learning if and to the extent that the characteristics of an artifact come to be a social signal of identity and inclusion. If and as that happens, a functionally superior variant might risk disapproval or even ostracism. On this view, we would predict quite different trajectories for "style-like" features of artifacts, and this mechanism has been suggested as part of the explanation of the stasis of the Acheulian.

  9. Connoisseurs of the literature will recognise this as a version of Mueller’s explanation of the existence of sexual reproduction: combining in the one genome distinct copies of an allele counteracts the effects of mutational load, which would otherwise gradually erode the capacity of gene packages to adaptively direct development if they were transmitted asexually from one generation to next.

  10. It is possible that the loss of those tools had an environmental rather than a demographic cause. In the Little Ice Age an increase in pack ice may have cut them off from driftwood.

  11. Nets were big ticket items in some aboriginal economies, and were used to capture small and medium game as well (Satterthwait 1987).

  12. So for example in Derex’s experiments, novices could see only one demonstration per time period and each demonstration lasted 40s, independently of the skill demonstrated. While regimentation of this kind is clearly necessary for experimental control, equally clearly it detracts from the realism of the experimental runs.

  13. There is of course expertise in the use of language, and one which might guide novices in their choice of experts: think of oratory, rhetoric, capacities to persuade and entertain. But not with respect to phoneme inventories or vocabulary items.

References

  • Ambrose, S. (2001). Paleolithic technology and human evolution. Science, 291, 1748–1753.

    Article  Google Scholar 

  • Andersson, C., & Read, D. (2016). The evolution of cultural complexity: Not by the treadmill alone. Current Anthropology, 57(3), 261–286.

    Article  Google Scholar 

  • Berwick, R. C., & Chomsky, N. (2016). Why only us: Language and its evolution. Cambridge: MIT Press.

    Book  Google Scholar 

  • Caldwell, C. A. (2020). The role of experimental research designs in understanding distinctively human culture. Topics in Cognitive Science, 11(1), e1516. https://doi.org/10.1002/wcs.1516.

    Article  Google Scholar 

  • Collard, M., Buchanan, B., O’Brien, M., & Scholnick, J. (2013a). Risk, mobility or population size? Drivers of technological richness among contact-period western North American hunter–gatherers. Philosophical Transactions of the Royal Society series B, 368, 20120412.

    Article  Google Scholar 

  • Collard, M., Buchanan, B., Ruttle, A., & O’Brien, M. (2011). Niche construction and the toolkits of hunter–gatherers and food producers. Biological Theory, 6, 251–259.

    Article  Google Scholar 

  • Collard, M., Kemery, M., & Banks, S. (2005). Causes of toolkit variation among hunter–gatherers: a test of four competing hypotheses. Canadian Journal of Archaeology, 29(1), 1–19.

    Google Scholar 

  • Collard, M., Ruttle, A., Buchanan, B., & O’Brien, M. (2012). Risk of resource failure and toolkit variation in small scale farmers and herders. PLoS ONE, 7(7), e40975.

    Article  Google Scholar 

  • Collard, M., Ruttle, A., Buchanan, B., & O’Brien, M. (2013b). Population size and cultural evolution in nonindustrial food-producing societies. PLoS ONE, 8(9), e72628.

    Article  Google Scholar 

  • Collard, M., Vaesen, K., Cosgrove, R., & Roebroeks, W. (2016). The empirical case against the ‘demographic turn’in Palaeolithic archaeology. Philosophical Transactions of the Royal Society series B, 371(1698), 20150242.

    Article  Google Scholar 

  • Deino, A., Behrensmeyer, A., Brooks, A., Yellen, J., Sharp, W., & Potts, R. (2018). Chronology of the Acheulean to middle stone age transition in Eastern Africa. Science, 360(6384), 95–98.

    Article  Google Scholar 

  • Derex, M., Beugin, M.-P., Godelle, B., & Raymond, M. (2013). Experimental evidence for the influence of group size on cultural complexity. Nature, 503(7476), 389–391.

    Article  Google Scholar 

  • French, J. (2016). Demography and the palaeolithic archaeological record. Journal of Anthropological Method and Theory, 23, 150–199.

    Google Scholar 

  • Gamble, C. (2013). Settling the earth: The archaeology of deep human history. Cambridge: Cambridge University Press.

    Book  Google Scholar 

  • Gilligan, I. (2016). Comment on “The evolution of cultural complexity not by the treadmill alone”. Current Anthropology, 57(3), 276–277.

    Google Scholar 

  • Gowlett, J. (2016). The discovery of fire by humans: a long and convoluted process. Philosophical Transactions of the Royal Society series B, 371(1696), 20150164.

    Article  Google Scholar 

  • Gowlett, J., & Wrangham, R. (2013). Earliest fire in Africa: Towards the convergence of archaeological evidence and the cooking hypothesis. Azania: Archaeological Research in Africa, 48(1), 5–30.

    Article  Google Scholar 

  • Groves, C. (2007). The Homo floresiensis controversy. HAYATI Journal of Biosciences, 14(4), 123–126.

    Article  Google Scholar 

  • Harmand, S., Lewis, J., Feibel, C. S., Lepre, C., Prat, S., Lenoble, A., et al. (2015). 3.3-million-year-old stone tools from Lomekwi 3, West Turkana, Kenya. Nature, 521, 310–315.

    Article  Google Scholar 

  • Hart, C. W., & Pilling, A. (1960). The Tiwi of North Australia. New York: Holt, Rinehart and Winston.

    Google Scholar 

  • Henrich, J. (2004). Demography and cultural evolution: Why adaptive cultural processes produced maladaptive losses in Tasmania. American Antiquity, 69(2), 197–221.

    Article  Google Scholar 

  • Henrich, J. (2016). The secret of our success: How culture is driving human evolution, domesticating our species and making us smarter. Princeton: Princeton University Press.

    Book  Google Scholar 

  • Henrich, J., Boyd, R., Derex, M., Kline, M., Mesoudi, A., Muthukrishna, M., et al. (2016a). Appendix to understanding cumulative cultural evolution: A reply to Vaesen, Collard, et al. (June 20, 2016). https://ssrn.com/abstract=2798257 or http://doi.org/10.2139/ssrn.2798257

  • Henrich, J., Boyd, R., Derex, M., Kline, M., Mesoudi, A., Muthurkrisha, M., et al. (2016b). Understanding cumulative cultural evolution (appendix). Proceedings of the National Academy of Science, 113(44), E6724–E6725.

    Article  Google Scholar 

  • Hewlett, B., Fouts, H., Boyette, A., & Hewlett, B. (2011). Social learning among Congo Basin hunter–gatherers. Philosophical Transactions of the Royal Society of London B: Biological Sciences, 366(1567), 1168–1178.

    Article  Google Scholar 

  • Heyes, C. (2018). Cognitive gadgets: The cultural evolution of thinking. Cambridge: Harvard University Press.

    Book  Google Scholar 

  • Hill, K., Wood, B., Baggio, J., Hurtado, M., & Boyd, R. (2014). Hunter–gatherer inter-band interaction rates: implications for cumulative culture. PLoS ONE, 9(7), e102806.

    Article  Google Scholar 

  • Hiscock, P. (2008). Archaeology of ancient Australia. London: Routledge.

    Google Scholar 

  • Hiscock, P. (2014). Learning in lithic landscapes: A reconsideration of the hominid “toolmaking” niche. Biological Theory, 9(1), 27–41.

    Article  Google Scholar 

  • Hiscock, P., & O’Conner, S. (2006). An Australian perspective on modern behaviour and artefact assemblages. Before Farming, 2, 1–10.

    Article  Google Scholar 

  • Kelly, R. K. (2013). The lifeways of hunter–gatherers: The foraging spectrum. Cambridge: Cambridge University Press.

    Book  Google Scholar 

  • Klein, R., & Edgar, B. (2002). The dawn of human culture. New York: Wiley.

    Google Scholar 

  • Kline, M., & Boyd, R. (2010). Population size predicts technological complexity in Oceania. Proceedings of the Royal Sciety B, 277, 2559–2564.

    Article  Google Scholar 

  • Kuhn, S. (2019). The evolution of paleolithic technologies: A macroscopic perspective. London: Routledge.

    Google Scholar 

  • List, C. (2004). Democracy in animal groups: A political science perspective. Trends in Ecology & Evolution, 19(4), 168–169.

    Article  Google Scholar 

  • MacDonald, K. (2007). Cross-cultural comparison of learning in human hunting: Implications for life history evolution. Human Nature, 18, 386–402.

    Article  Google Scholar 

  • Marlowe, F. W. (2010). The Hadza: Hunter–gatherers of Tanzania. Berkeley: University of California Press.

    Book  Google Scholar 

  • Mazet, O., Rodriguez, W., Grusea, S., Boitard, S., & Chikhi, L. (2016). On the importance of being structured: instantaneous coalescence rates and human evolution—Lessons for ancestral population size inference?”. Heredity, 116, 362–371.

    Article  Google Scholar 

  • McBrearty, S. (2007). Down with the revolution. In P. Mellars, K. Boyle, O. Bar-Yosef, & C. Stringer (Eds.), Rethinking the human revolution: New behavioural and biological perspectives on the origin and dispersal of modern humans (pp. 133–151). Cambridge: McDonald Institute Archaeological Publications.

    Google Scholar 

  • McBrearty, S., & Brooks, A. (2000). The revolution that wasn’t: A new interpretation of the origin of modern human behavior. Journal of Human Evolution, 39(5), 453–563.

    Article  Google Scholar 

  • Mithen, S. (2013). The Cathedral model for the evolution of human cognition. In G. Hatfield & H. Pittman (Eds.), Evolution of mind, brain and culture (pp. 217–234). Pennsylvania: University of Pennsylvania Museum of Archaeology and Anthropology.

    Google Scholar 

  • Ofek, H. (2001). Second nature: Economic origins of human evolution. Cambridge: Cambridge University Press.

    Book  Google Scholar 

  • Oswalt, W. H. (1973). Habitat and technology: The evolution of hunting. New York: Holt, Rinehart, & Winston.

    Google Scholar 

  • Pickering, T. R. (2013). Rough and tumble: Aggression, hunting, and human evolution. Los Angles: University of California Press.

    Book  Google Scholar 

  • Powell, A., Shennan, S., & Thomas, M. (2009). Late pleistocene demography and the appearance of modern human behavior. Science, 324, 1298–1301.

    Article  Google Scholar 

  • Premo, L. S., & Kuhn, S. (2010). Modeling effects of local extinctions on culture change and diversity in the paleolithic. PLoS ONE, 5(12), e15582.

    Article  Google Scholar 

  • Read, D. (2012). Population size does not predict artifact complexity: Analysis of data from Tasmania, Arctic hunter–gatherers, and Oceania Fishing Groups. Human Complex Systems. UCLA. UCLA. Retrieved from, https://escholarship.org/uc/item/61n4303q.

  • Satterthwait, L. (1987). Socioeconomic implications of Australian Aboriginal Net Hunting. Man, 22(4), 613–636.

    Article  Google Scholar 

  • Schick, K., & Toth, N. (1993). Making silent stones speak: Human evolution and the dawn of technology. London: Phoenix Books.

    Google Scholar 

  • Schniter, E., Gurven, M., Kaplan, H., Wilcox, N., & Hooper, P. (2015). Skill ontogeny among Tsimane forager-horticulturalists. American Journal of Physical Anthropology, 158(1), 3–18.

    Article  Google Scholar 

  • Shennan, S. (2001). Demography and cultural innovation: A model and its implications for the emergence of modern human culture. Cambridge Archaeological Journal, 11(1), 5–16.

    Article  Google Scholar 

  • Sterelny, K. (2006). The evolution and evolvability of culture. Mind and Language, 21(2), 137–165.

    Article  Google Scholar 

  • Sterelny, K. (2012). The evolved apprentice. Cambridge: MIT Press.

    Book  Google Scholar 

  • Stout, D. (2002). Skill and cognition in stone tool production: An ethnographic case study from Irian Jaya. Current Anthropology, 43(5), 693–722.

    Article  Google Scholar 

  • Tomasello, M. (1999). The cultural origins of human cognition. Cambridge: Harvard University Press.

    Google Scholar 

  • Tomasello, M. (2014). A natural history of human thinking. Cambridge: Harvard University Press.

    Book  Google Scholar 

  • Vaesen, K., Collard, M., Cosgrove, R., & Roebroeks, W. (2016). Population size does not explain past changes in cultural complexity. Proceedings of the National Academy of Sciences, 113(16), e2241–e2247.

    Article  Google Scholar 

  • Watkins, T. (2008). Supra-regional networks in the neolithic of Southwest Asia. Journal of World Prehistory, 21, 139–171.

    Article  Google Scholar 

  • Whallon, R. (2011). An introduction to information and its role in hunter–gatherer bands. In R. Whallon, W. A. Lovis, & R. Hitchcock (Eds.), Information and its role in hunter–gatherer bands (pp. 1–28). Los Angeles: UCLA/Cotsen Institute of Archaeology.

    Google Scholar 

  • Wynn, T., & Coolidge, F. (2007). Did a small but significant enhancement in working memory power the evolution of modern thinking? In P. Mellars, K. Boyle, O. Bar-Yosef, & C. Stringer (Eds.), Rethinking the human revolution: New behavioural and biological perspectives on the origins and dispersal of modern humans (pp. 79–90). Cambridge: McDonald Institute for Archaeological Research.

    Google Scholar 

  • Wynn, T., Overmann, K., & Coolidge, F. (2016). The false dichotomy: A refutation of the Neandertal indistinguishability claim. Journal of Anthropological Sciences, 94, 1–22.

    Google Scholar 

  • Zhu, Z., Dennell, R., Huaang, W., Wu, Y., Qiu, S., Rao, Z., et al. (2018). Hominin occupation of the Chinese Loess Plateau since about 2.1 million years ago. Nature, 559, 608–612.

    Article  Google Scholar 

Download references

Acknowledgements

Thanks to Peter Hiscock, Anton Killin, Steve Kuhn (especially), Ross Pain, Ron Planer, and Ceri Shipton for comments on earlier drafts of this paper, an to two referees for constructive and informed feedback. Thanks also to the audiences at the AAP (Wollongong 2019), The Konrad Lorenz Institute and the Archaeology meets Philosophy Workshop (ANU, 2019) for their feedback. As always, it is a pleasure to acknowledge the Australian Research Council (Grant No. FL130 100 141) for their generous support of my work on human evolution.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Kim Sterelny.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Sterelny, K. Demography and cultural complexity. Synthese 198, 8557–8580 (2021). https://doi.org/10.1007/s11229-020-02587-2

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11229-020-02587-2

Keywords

Navigation