Abstract

Humans are remarkable in their reliance on cultural inheritance, and the ecological success this has produced. Nonetheless, we lack a thorough understanding of how the cognitive underpinnings of cultural transmission affect cultural adaptation across diverse tasks. Here, we use an agent-based simulation to investigate how different learning mechanisms (both social and asocial) interact with task structure to affect cultural adaptation. Specifically, we compared learning through refinement, recombination or both, in tasks of different difficulty, with learners of different asocial intelligence. We find that for simple tasks all learning mechanisms are roughly equivalent. However, for hard tasks, performance was maximised when populations consisted of highly intelligent individuals who nonetheless rarely innovated and instead recombined existing information. Our results thus show that cumulative cultural adaptation relies on the combination of individual intelligence and 'blind' population-level processes, although the former may be rarely used. The counterintuitive requirement that individuals be highly intelligent, but rarely use this intelligence, may help resolve the debate over the role of individual intelligence in cultural adaptation.

Highlights

  • Cumulative cultural evolution – the process through which we build upon knowledge inherited over time ( CCE) – has allowed our species to achieve the astounding ecological success witnessed today

  • Task difficulty and task structure moderate the effect of demography on CCE. These results suggest that cumulative cultural evolution depends on complex interactions between the task structure and the mechanisms of inheritance and innovation

  • To account for this, hereafter we present normalised payoffs, whereby the payoff of each agent is scored relative to the average payoff of 10,000 long-sighted learners without cultural inheritance

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Summary

Introduction

Cumulative cultural evolution – the process through which we build upon knowledge inherited over time ( CCE) – has allowed our species to achieve the astounding ecological success witnessed today. Despite the fact that CCE often produces traits beyond the ability of any single individual, the modelling literature has typically operationalised CCE in simple ways, such as the persistence of traits in a population (Enquist & Ghirlanda, 2007; Enquist et al, 2010), the total number of traits (Enquist, Ghirlanda, Jarrick, & Wachtmeister, 2008; Lehmann, Aoki, & Feldman, 2011; Lehmann, Feldman, & Kaeuffer, 2010; Strimling, Sjöstrand, Enquist, & Eriksson, 2009) or the continuous/sequential improvement of a single trait (Henrich, 2004; Mesoudi, 2011; Morgan, 2016) This way of modelling CCE as linear progression towards complexity is useful and intuitive, but a far cry from human culture where traits are often highly complex, consisting of multiple parts that interact in non-obvious ways. The way we model the structure of the cultural environment has important implications for our understanding of cultural evolution

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