Optimizing group learning: An evolutionary computing approach

We study groups of interacting agents who are trying to discover probabilistic truths on the basis of sequentially provided evidence and information about the belief states of other group members. The main research question is which combination of epistemic principles—combinations of an evidential update rule, a rule for determining peerhood, and a rule for aggregating probability functions—such groups should adopt to strike the best balance...