Consider an evolutionary context where a given number of quantity-setting oligopolists tend to mimic successful behavior, occasionally experimenting with some small probability. In this context, it is shown that the unique long-run outcome of the process has all firms playing Walrasian, i.e.,...

We study a dynamic process where agents in a network interact in a Prisoner’s Dilemma. The network not only mediates interactions, but also information: agents learn from their own experience and that of their neighbors in the network about the past behavior of others. Each agent can only...

We study a market for a homogeneous good in which firms adjust theirproduction decisions on the basis of imitation, learning from own experience, and local experimentation.For any fixed set of firms (more than one), long run behavior settles on a symmetric marginal-cost pricingequlibrium. When...

We analyze the long-run outcome of markets in which boundedly rational firms with a decreasingreturns to scale technology compete in prices. The behavior of these firms is based on limitation ofsuccess and experimentation. In this framework, we introduce a new approach to model boundedlyrational...

Many models postulate a continuum of agents of finitely many different types who are repeatedly randomly matched in pairs to perform certain activities (e.g. play a game) which may in turn make their types change. The random matching process is usually left unspecified, and some Law of Large...

This paper analyzes an evolutionary model where agents are locally matched to playa coordination game and can adjust both their strategy and location. Their decisions are subject to friction, so that an agent who migrates to a different location may be unable to adjust her strategy optimally to...

This paper introduces expectations into the framework of evolutionary games. On the one hand, (myopic) players are assumed to behave optimally according to the expectations they hold at each point of the process. On the other hand, expectations themselves are continuously updated according to...