We report experiments designed to test between Nash equilibria that are stable and unstable under learning. The “TASP” (Time Average of the Shapley Polygon) gives a precise prediction about what happens when there is divergence from equilibrium under fictitious play like learning processes....

We study learning in a large class of complete information normal form games. Players continually face new strategic situations and must form beliefs by extrapolation from similar past situations. We characterize the long-run outcomes of learning in terms of iterated dominance in a related...

This paper applies recent advances in the theory of learning to the analysis of consumer behaviour in a dynamic duopoly. Nash equilibrium play is characterised when consumers learn adaptively about the relative quality of the two products. A constrast is made between belief-based and...