future choices. These considerations motivate a rich research programme on how social networks shape individual and … collective learning. The present paper provides a summary of this research. …

reinforcement learning models than with belief-based models. Showing level-2 rationality (i.e., reasoning about others' beliefs) is … egocentric instead. Our results contribute to the understanding of coordination dynamics resting on heterogeneity and co … process level to the validity of modeling behavior using low-rationality reinforcement learning models. …

. We reframe the concept of integration as a learning process fueled by knowledge exchange across diverse professional and … organizational communities. We thus focus on the cognitive and social dynamics of learning in complex adaptive systems, and on … learning behaviours and conditions that foster collective learning and improved collaboration. We suggest that the capacity to …

opportunities to identify learning rules, since on networks (compared to, e.g., random matching) more rules differ in terms of their … information they consult before making their choices. We use these data to estimate learning types using finite mixture models … find that learning depends on network position. Participants in more complex environments (with more network neighbors …