Before revision: We propose two new signalling-game refinements that are microfounded in a model of patient Bayesian learning . Agents are born into player roles and play the signalling game against a random opponent each period.
After revision: We show how to add the assumption that players know their opponents' payoff functions to the theory of learning in games, and use it to derive restrictions on signaling-game play in the spirit of divine equilibrium. In our learning model, agents are born into player roles and play the signalling game against a random opponent each period.