The purpose of this course is to introduce Master students, PhD students and researchers to the world of epistemic game theory.

Epistemic game theory is not a specialization within game theory, but rather a particular way to look at game theory. The purpose of epistemic game theory is namely to model, and analyze, possible ways in which a player in a game may reason about his opponents. This reasoning process is really fundamental in game theory: before a player makes a choice in a game, he must form a belief about what his opponents will do, which in turn is based on what he believes that his opponents believe that others will do. That is, before making a choice, a player must reason about hisopponents, and subsequently base his choice on this process of reasoning.

In this course, the following four-step approach is used:

1. We first identify an intuitive way of reasoning about your opponents,

by means of one or several examples.

2. In order to fully understand the behavioral consequences of this way

of reasoning about your opponents, it is necessary to build a formal

mathematic model that precisely describes the way of reasoning.

3.  Once such a model has been delivered, we can logically derive the

choices that a player can rationally make if he follows this pattern of

reasoning.

4. If possible, we present an algorithm that computes, for a given

player, all the choices he can rationally make if he follows this

pattern of reasoning.

For more details about the course, see here:

The mini-course is organized by the Center for Algorithmic Game Theory,

funded by the Carlsberg Foundation.