games under one-period perfect monitoring. We show that through repeated interactions, decentralized learning algorithms can …

This paper aspires to fill a conspicuous gap in the literature regarding learning in games — the absence of empirical … verification of learning rules involving pattern recognition. Weighted fictitious play is extended to detect two-period patterns in … adequately represent the complete learning process of game players. Additionally, standard weighted fictitious play models are …

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 …