We address the problem of learning and implementation on the Internet. When agents play repeated games in distributed … environments like the Internet, they have very limited {\em a priori} information about the other players and the payoff matrix … the essential properties that constitute ``reasonable'' learning behavior in distributed environments. We then study the …

equilibrium. Finally, I provide a revelation principle for supermodular implementation in environments with general preferences. …

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 …

firm must transfer a large part of the surplus to the inactive firm in order to limit pre-emption. Learning; Pre …

The novelty of our model is to combine models of collective action on networks with models of social learning. Agents …