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 …

prevalent in early and late stages of a learning process, whereas reason governs decisions in intermediate stages. Examples …

prevalent in early and late stages of a learning process, whereas reason governs decisions in intermediate stages. Examples …

prevalent in early and late stages of a learning process, whereas reason governs decisions in intermediate stages. Examples …

probability estimations and outcome preferences according to the learning models suggested by neuroscience (i.e., adaptive … learning aimed at reducing surprises), and analogous to Bayesian updating. The search context is derived from experimental … economics, whereas the learning framework is borrowed from theoretical economics. Analytical results show that obstinate and …