content. Using a transfer learning-based machine learning algorithm we convert complex images into lower-level features. This …

The paper analyzes a dynamic model of rational strategic learning in a network. It complements existing literature by … links. This means that in the design of networks there exists a trade-off between the speed of learning and accuracy. …

We investigate how the selection process of a leader affects team performance with respect to social learning. We use a … models of social learning to investigate the micro-level mechanisms. We find that overconfidence and conservatism contribute …

Our study analyzes theories of learning for strategic interactions in networks. Participants played two of the 2 × 2 …, payoff-sampling equilibrium, and impulse balance equilibrium) which represent the long-run equilibrium of a learning process …. Secondly, we relate our results to four different learning models (impulse-matching learning, action-sampling learning, self …