Game Theory 101 (#63): Incomplete Information

This lecture begins a unit on incomplete information game theory, allowing us to eventually work toward the Bayesian Nash equilibrium and perfect Bayesian equilibrium solution concepts. In incomplete information games, a player does not know another’s payoffs. This type of uncertainty forces players to learn as they play the game, creating far richer strategic environments than we have seen before.