## Some differences between *An introduction to game theory* and *A course in game theory*

- IGT contains extended examples of Nash equilibrium.
- IGT contains a separate chapter on Bayesian games.
- IGT contains a separate chapter on evolutionary equilibrium.
- The material on maxminimization in IGT is treated separately from Nash equilibrium, in its own chapter.
- In the definition of a Bayesian game, each player's belief about the states
*after* receiving her signal, rather than her prior belief, is taken as a primitive (so that the need to use Bayes' Rule is avoided).
- The primitive in the definition of an extensive game with perfect information is the set of terminal histories, rather than the set of all histories.
- IGT contains no material on correlated equilibrium, knowledge, complexity considerations in repeated games, or implementation theory.