Work

Causal understanding is not necessary for the improvement of culturally evolving technology

Year: 2019

Type: article

Abstract: Bows and arrows, houses, and kayaks are just a few examples of the highly-optimized tools that humans produced and used to colonize new environments. Because there is much evidence that humans’ cognitive abilities are unparalleled, many believe that such technologies resulted from our superior causal reasoning abilities. However, others have stressed that the high dimensionality of human technologies make them very hard to understand causally. Instead, they argue that optimized technologies emerge through the retention of small improvements across generations without requiring understanding of how these technologies work. Here, we show that a physical artifact becomes progressively optimized across generations of social learners in the absence of explicit causal understanding. Moreover, we find that the transmission of causal models across generations has no noticeable effect on the pace of cultural evolution. The reason is that participants do not spontaneously create multidimensional causal theories but instead mainly produce simplistic models related to a salient dimension. Finally, we show that the transmission of these inaccurate theories constrains learners’ exploration and has downstream effects on their understanding. These results indicate that complex technologies need not result from enhanced causal reasoning but instead can emerge from the accumulation of improvements made across generations.

Source: Nature Human Behaviour

DOI: 10.1038/s41562-019-0567-9

Authors: Maxime Derex, Jean-François Bonnefon, Robert Boyd, Alex Mesoudi