We propose a framework in order to econometrically estimate case-based learning and apply it to empirical data from … twelve 2 × 2 mixed strategy equilibria experiments. Case-based learning allows agents to explicitly incorporate information …-based learning to other learning models (reinforcement learning and self-tuned experience weighted attraction learning) while using …

. Our model was designed according to the Instance-Based Learning Theory (IBLT). The two versions of the model assumed the … same cognitive principles of decision making and learning in the MEC. The only difference between the two models was the …

local interactions. Amongst others, we discuss best reply learning in a global- and in a local- interaction framework and … best reply learning in multiple location models and in a network formation context. Further, we discuss imitation learning …

We study social learning in a large population of agents who only observe the actions taken by their neighbours. Agents …