Cumulative technological culture can be defined as the progressive diversification, complexification, and enhancement of technological traits through generations. An outstanding issue is to specify the cognitive bases of this phenomenon. Based on the literature, we identified four potential cognitive factors: namely, theory-of-mind, technical-reasoning, creativity, and fluid-cognitive skills. The goal of the present study was to test which of these factors—or a combination thereof—best predicted the cumulative performance in two experimental, micro-society conditions differing in the nature of the interaction allowed between (...) participants. The task was to build the highest possible tower. Participants were also assessed on the four aforementioned cognitive factors in order to predict cumulative performance and attractiveness. Our findings indicate that technical-reasoning skills are the best predictor of cumulative performance, even if their role may be restricted to the specific technological domain. Theory-of-mind skills may have a facilitator role, particularly in the Communication condition. Creativity can also help in the generation of novel ideas, but it is not sufficient to support innovation. Finally, fluid cognition is not involved in cumulative technological culture. Taken together, these findings suggest that domain-specific knowledge remains critical for explaining cumulative technological culture. (shrink)

A leading idea of cultural evolutionary theory is that for human cultures to undergo evolutionary change, cultural transmission must generally serve as a high-fidelity copying process. In analogy to genetic inheritance, the high fidelity of human cultural transmission would act as a safeguard against the transformation and loss of cultural information, thus ensuring both the stability and longevity of cultural traditions. Cultural fidelity would also serve as the key difference-maker between human cumulative cultures and non-human non-cumulative traditions, explaining why only (...) us humans, with our uniquely high-fidelity transmission capabilities, are capable of evolving and sustaining complex traditions. But what does it mean for cultural transmission to be more or less faithful? This article has two objectives. The first is to clarify the meaning and uses of the concept of cultural fidelity and to evaluate their explanatory import. I argue that cultural evolutionists use several fidelity concepts (episodic, propensity, and generalized fidelity), concepts that I will define and clarify. The second objective is to challenge the explanatory significance of a general notion of fidelity (generalized fidelity) as being both explanatorily meaningful and operationalizable. I conclude that if fidelity is to serve as an explanation of the key differences between human cumulative cultures and non-human non-cumulative traditions, then the concept will have to be redesigned and rely on different assumptions. 1Introduction 2Generalized Fidelity 2.1The need for an explanatory concept of fidelity 2.2Three conditions for a general notion of cultural fidelity 3Episodic Fidelity 3.1Measuring episodic fidelity 3.2The relevance problem 3.3Explanatory pluralism 3.4The incommensurability of fidelity metrics 4Propensity Fidelity 5Fidelity as an Explanatory Concept 5.1Explaining cultural stability 5.2Explaining human distinctiveness 6Conclusion. (shrink)

Although evidence of teaching behaviour has been identified in some nonhuman species, human teaching appears to be unique in terms of both the breadth of contexts within which it is observed, and in its responsiveness to needs of the learner. Similarly, cultural evolution is observable in other species, but human cultural evolution appears strikingly distinct. This has led to speculation that the evolutionary origins of these capacities may be causally linked. Here we provide an overview of contrasting perspectives on the (...) relationship between teaching and cultural evolution in humans, and briefly review previous research which suggests that cumulative culture can occur without teaching. We then report the results of a novel experimental study in which we investigated how the benefits of teaching may depend on the complexity of the skill to be acquired. Participants were asked to tie knots of varying complexity. In our Teaching condition, opportunities to interact with an experienced partner aided transmission of the most complex knots, but not simpler equivalents, relative to exposure to completed products alone, and also relative to information about the process of completion. We conclude by considering the plausibility of various accounts of the evolutionary relationship between teaching and cultural evolution in humans. (shrink)

Humans can follow different social learning strategies, sometimes oriented toward the models’ characteristics. The goal of the present study was to explore which who-strategy is preferentially followed in the technological context based on the models’ psychological characteristics. We identified three potential who-strategies: Copy the pedagogue, copy the engineer, and copy the friend. We developed a closed-group micro-society paradigm in which participants had to build the highest possible towers. Participants began with an individual building phase. Then, they were gathered to discuss (...) the best solutions to increase tower height. After this discussion phase, they had to make a new building attempt, followed by another discussion phase, and so forth for a total of six building phases and five discussion rounds. This methodology allowed us to create an attraction score for each participant. We also assessed participants’ theory-of-mind skills, technical-reasoning skills, and prosocialness to predict participants’ attraction scores based on these measures. Results show that we learn from engineers because they are the most successful. Their attraction power is not immediate, but after they have been identified as attractors, their technique is copied irrespective of their pedagogy or friendliness. These findings open avenues for the study of the cognitive bases of human technological culture. (shrink)

The zone of latent solutions hypothesis provides an alternative approach to explaining cultural patterns in primates and many other animals. According to the ZLS hypothesis, non-human great ape cultures consist largely or solely of latent solutions. The current competing hypothesis for ape culture argues instead that at least some of their behavioural or artefact forms are copied through specific social learning mechanisms and that their forms may depend on copying. In contrast, the ape ZLS hypothesis does not require these forms (...) to be copied. Instead, it suggests that several social learning mechanisms help determine the frequency of these behaviours and artefacts within connected individuals. The ZLS hypothesis thus suggests that increases and stabilisations of a particular behaviour’s or artefact’s frequency can derive from socially-mediated form reinnovations. Therefore, and while genes and ecology play important roles as well, according to the ape ZLS hypothesis, apes typically acquire the forms of their behaviours and artefacts individually, but are usually socially induced to do so. The ZLS approach is often criticized—perhaps also because it challenges the current null hypothesis, which instead assumes a requirement of form-copying social learning mechanisms to explain many ape behavioural forms. However, as the ZLS hypothesis is a new approach, with less accumulated literature compared to the current null hypothesis, some confusion is to be expected. Here, we clarify the ZLS approach—also in relation to other competing hypotheses—and address misconceptions and objections. We believe that these clarifications will provide researchers with a coherent theoretical approach and an experimental methodology to examine the necessity of form-copying variants of social learning in apes, humans and other species. (shrink)