This paper examines the learning dynamics of boundedly rational agents, who are asked to contribute to a discrete … confirmed by simulations, where the learning process is modeled by an Evolutionary Algorithm. We show that the contribution game …

Dynamic models of learning and adaptation have provided realistic predictions in terms of voting behavior. This study … choice. We test through panel data methods an outcome-based learning mechanism based on the following assumptions: (a) people … affiliation reinforce this adaptive behavior. The analysis also investigates the intensity of the learning feedback …

This paper uses a model of boundedly rational learning to account for the observations of recurrent hyperinflations in … formal definition of quasi-rational learning. The model under learning is able to match remarkably well some crucial stylized … being a small departure from rational expectations, quasi-rational learning does not preclude falsifiability of the model …