GAME THEORY
- Overview
- Assessment methods
- Learning objectives
- Contents
- Full programme
- Bibliography
- Delivery method
- Teaching methods
- Contacts/Info
Mathematics. In particular, derivative rules and single-variable optimization.
The exam is written and consists of 6 exercises. Each student must correctly write 5 exercises out of 6 to obtain the maximum score. The exercises correctly written are sufficient to pass the exam. The student has two hours to write the exam.
The aim of the course is to provide students with the basic elements of non-cooperative game theory. In particular, at the end of the course students will know the analytical tools for understanding, modeling and forecasting the strategic behaviors of economic agents.
The course aims to provide the following skills:
1) To solve general multi-agent problems in the economic, financial and business fields with the techniques of game theory.
2) To apply the concepts of game theory to real scenarios to propose efficient and stable solutions to strategic problems in the business and economic environments even under uncertainty.
1) Matrix games and games in normal form;
2) Nash equilibrium;
3) Test for the existence of a Nash equilibrium;
4) Mixed strategies;
5) best-reply functions, Nash's theorem;
6) Bayesian Games;
7) Economic applications: Cournot and Bertrand oligopolies, management of natural resources, auctions, voting system;
8) Decision theory with applications to finance;
9) Extensive form games and backward induction;
10)Evolutionary games and evolutionary stable equilibria.
1) Normal form games;
2) Extensive-form games;
3) Economic applications;
4) Bayesian games;
5) Evolutionary games.
Lecture notes.
Additional reading at the student's discretion:
- R. Gibbons, Teoria dei Giohci, Il Mulino.
- C. D. Aliprantis e S. K. Chakrabarti, Games and Decision Making, Oxford university press, 2010.
Academic teaching:
https://teams.microsoft.com/l/team/19%3amLOqtAQ6WhvPoZYW3N2FRChZacOFTjfR...
Team Code Virtual Room:
i5f1jp2
OFFICE HOURS (It is required to arrange an appointment by email at davide.radi@uninsubira.it): : Every Monday from 1.30 pm to 2.30 pm.