Representations underlying social learning and cultural evolution
Joanna J. Bryson | University of Bath / Konrad Lorenz Institute for Evolution and Cognition Research
Social learning is a source of behaviour for many species, but few use it as extensively as they seemingly could. In this article, I attempt to clarify our understanding of why this might be. I discuss the potential computational properties of social learning, then examine the phenomenon in nature through creating a taxonomy of the representations that might underly it. This is achieved by first producing a simplified taxonomy of the established forms of social learning, then describing the primitive capacities necessary to support them, and finally considering which of these capacities we actually have evidence for. I then discuss theoretical limits on cultural evolution, which include having sufficient information transmitted to support robust representations capable of supporting variation for evolution, and the need for limiting the extent of social conformity to avoid ecological fragility. Finally, I show how these arguments can inform several key scientific questions, including the uniqueness of human culture, the long lifespans of cultural species, and the propensity of animals to seemingly have knowledge about a phenomenon well before they will act upon it.
2021. The cultural evolution of cultural evolution. Philosophical Transactions of the Royal Society B: Biological Sciences 376:1828
Reader, Simon M.
2016. Animal social learning: associations and adaptations. F1000Research 5 ► pp. 2120 ff.
Gruber, Thibaud, Timothée Poisot, Klaus Zuberbühler, William Hoppitt & Catherine Hobaiter
2015. The spread of a novel behavior in wild chimpanzees: New insights into the ape cultural mind. Communicative & Integrative Biology 8:2 ► pp. e1017164 ff.
2015. Apes have culture but may not know that they do. Frontiers in Psychology 6
Holm, Tove, Timo Vuorisalo & Kaisu Sammalisto
2015. Integrated management systems for enhancing education for sustainable development in universities: a memetic approach. Journal of Cleaner Production 106 ► pp. 155 ff.
Rauwolf, Paul, Dominic Mitchell & Joanna J. Bryson
2015. Value homophily benefits cooperation but motivates employing incorrect social information. Journal of Theoretical Biology 367 ► pp. 246 ff.
Tambovtsev, V.
2015. The Myth of the "Culture Code" in Economic Research. Voprosy Ekonomiki :12 ► pp. 85 ff.
Tambovtsev, Vitaly
2015. The myth of the “Culture code” in economic research. Russian Journal of Economics 1:3 ► pp. 294 ff.
Bryson, Joanna J., James Mitchell, Simon T. Powers & Karolina Sylwester
2014. Understanding and Addressing Cultural Variation in Costly Antisocial Punishment. In Applied Evolutionary Anthropology, ► pp. 201 ff.
Hobaiter, Catherine, Timothée Poisot, Klaus Zuberbühler, William Hoppitt, Thibaud Gruber & Frans B. M. de Waal
2014. Social Network Analysis Shows Direct Evidence for Social Transmission of Tool Use in Wild Chimpanzees. PLoS Biology 12:9 ► pp. e1001960 ff.
Bryson, Joanna J.
2012. Structuring Intelligence: The Role of Hierarchy, Modularity and Learning in Generating Intelligent Behaviour. In The Complex Mind, ► pp. 126 ff.
Bryson, Joanna J.
2014. The Role of Stability in Cultural Evolution: Innovation and Conformity in Implicit Knowledge Discovery. In Perspectives on Culture and Agent-based Simulations [Studies in the Philosophy of Sociality, 3], ► pp. 169 ff.
Bryson, Joanna J.
2015. Artificial Intelligence and Pro-Social Behaviour. In Collective Agency and Cooperation in Natural and Artificial Systems, ► pp. 281 ff.
Gruber, Thibaud, Ian Singleton & Carel van Schaik
2012. Sumatran Orangutans Differ in Their Cultural Knowledge but Not in Their Cognitive Abilities. Current Biology 22:23 ► pp. 2231 ff.
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