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 …

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. …

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

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

-post implementation may not be possible. We propose direct (Bayesian) mechanisms that are robust to certain forms of bounded rationality … conditions for supermodular implementation in unique equilibrium. …

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 …