Paul Bergmann

@pkbergmann.bsky.social

148 Followers 380 Following

PhD candidate in Psychology at the Computational Modelling of Behaviour Lab, University of Marburg. Interested in cooperation, social learning, and inequality.

Heatmaps of individual learning parameters across several social learning strategies and across additive and multiplicative environments. Individual learning rate and inverse temperature are systematically varied. In the additive environment, all social learning strategies (including conformity, unbiased copying, payoff bias and wealth bias) improve performance by increasing the probability of choosing the riskier option that has a higher expected value. In the multiplicative environment, all social learning strategies with the exception of conformity deteriorate performance, also increasing the probability of choosing the riskier option, which is worse in the multiplicative environment given its higher variance (i.e., lower time-average growth rate).