Derex Maxime, Boyd Robert
Institute of Human Origins, Arizona State University, Tempe, AZ 85287;
School of Human Evolution and Social Change, Arizona State University, Tempe, AZ 85287.
Proc Natl Acad Sci U S A. 2016 Mar 15;113(11):2982-7. doi: 10.1073/pnas.1518798113. Epub 2016 Feb 29.
Complex technologies used in most human societies are beyond the inventive capacities of individuals. Instead, they result from a cumulative process in which innovations are gradually added to existing cultural traits across many generations. Recent work suggests that a population's ability to develop complex technologies is positively affected by its size and connectedness. Here, we present a simple computer-based experiment that compares the accumulation of innovations by fully and partially connected groups of the same size in a complex fitness landscape. We find that the propensity to learn from successful individuals drastically reduces cultural diversity within fully connected groups. In comparison, partially connected groups produce more diverse solutions, and this diversity allows them to develop complex solutions that are never produced in fully connected groups. These results suggest that explanations of ancestral patterns of cultural complexity may need to consider levels of population fragmentation and interaction patterns between partially isolated groups.
大多数人类社会所使用的复杂技术超出了个人的发明能力。相反,它们是一个累积过程的结果,在这个过程中,创新在许多代人中逐渐添加到现有的文化特征中。最近的研究表明,一个群体开发复杂技术的能力受到其规模和连通性的积极影响。在这里,我们提出了一个基于计算机的简单实验,该实验比较了在复杂适应度景观中相同规模的完全连通群体和部分连通群体的创新积累情况。我们发现,向成功个体学习的倾向极大地降低了完全连通群体中的文化多样性。相比之下,部分连通群体产生更多样化的解决方案,这种多样性使它们能够开发出完全连通群体中从未产生过的复杂解决方案。这些结果表明,对文化复杂性的祖先模式的解释可能需要考虑群体碎片化程度以及部分隔离群体之间的互动模式。