Face-to-face , first term, 30 hours of theory and 15 hours of exercises.

First term
Wednesday from 10:45 to 12:45 at 43 Botanique 4

French.

Game Theory aims to help us understand situations in which decision-makers interact. A game is being played whenever people interact with each other. When you make a bid at an auction, you are playing a game with the other bidders. When a supermarket manager decides the price at which she will try to sell cans of beans, she is playing a game with her customers and with the managers of rival supermarkets. When a firm and a union negotiate next year's wage contract, they are playing a game. The prosecuting and defending attorneys are playing a game when each decides what arguments to put before the jury. The objective of this course is to present the main ideas of game theory and to show how they can be used to understand economic, social, and political phenomena.
By the end of the course students should understand the explained solution concepts of game theory and should be able to apply them to the different economic, social or political situations.

For the Bachelor : Business Engineering :

For the Bachelor in Economics and Management :

None

The first part of the course studies the games with perfect information and the different solution concepts: Nash equilibrium, subgame perfect equilibrium. Each solution concept will be explained by means of a wide variety of illustrations: Bertrand's model of oligopoly, Cournot's model of oligopoly, Stackelberg's model of duopoly, auctions, electoral competition, exit from a declining industry, voting, matching, etc. The second part of the course is dedicated to some variants and extensions: repeated games and Bayesian games.
Course outline:
1. Introduction (Chapter 1)
Part I: Games with Perfect Information I
2. Nash Equilibrium: Theory (Chapter 2)
3. Nash Equilibrium: Illustrations (Chapter 3)
4. Mixed Strategy Equilibrium (Chapter 4)
5. Extensive Games with Perfect Information: Theory (Chapter 5) Part II: Variants and Extensions
6. Repeated Games: The Prisoner's Dilemma (Chapter 14)
7. Bayesian Games (Chapter 9)

The course objectives are achieved via weekly lectures in which the professor presents the different solution concepts and the corresponding applications. A teaching assistant will help the students in the resolution of the different problems.

A written examination made up of problems similar to those seen in problem sessions as well as questions relating to course material will be used to determine each student's course grade.

The syllabus of the course. The set of overheads used during the lectures is also available to the students.
An introduction to game theory, Martin J. Osborne, Oxford University Press 2004, ISBN 0-19-512896-6.