Network Connectivity Dynamics, Cognitive Biases, and the Evolution of Cultural Diversity in Round‐Robin Interactive Micro‐Societies

摘要: The distribution of cultural variants in a population is shaped by both neutral evolutionary dynamics and selection pressures. temporal social network connectivity, that is, the order which individuals interact with each other, has been largely unexplored. In this paper, we investigate how, fully connected network, connectivity dynamics, alone interaction different cognitive biases, affect evolution variants. Using agent-based computer simulations, manipulate (early, mid, late full-population connectivity); content bias, or preference for high-quality variants; coordination whether agents tend to use self-produced (egocentric bias), switch observed others (allocentric bias); memory size, number items can store their memory. We show time-course variant spread, lower slowing down convergence onto single variant. also that, compared model, bias accelerates amplifies effects while larger size especially egocentric slow convergence. Furthermore, frequency (adaptiveness), populations showing bursts rapid change adaptiveness followed periods relatively slower change, early following single-peak dynamic. evaluate our simulations against existing data collected from previous experiments how model reproduces empirical patterns