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040293 UK Modelling bounded rationality (MA) (2017W)

4.00 ECTS (2.00 SWS), SPL 4 - Wirtschaftswissenschaften
Continuous assessment of course work

Registration/Deregistration

Note: The time of your registration within the registration period has no effect on the allocation of places (no first come, first served).

Details

max. 50 participants
Language: English

Lecturers

Classes (iCal) - next class is marked with N

Next class: Tuesday, October 24, 16.35 - 18.05 h, Office K. Schlag No. 05.641

Thursday 05.10. 08:00 - 11:15 Seminarraum 16 Oskar-Morgenstern-Platz 1 3.Stock
Thursday 12.10. 09:45 - 11:15 Seminarraum 16 Oskar-Morgenstern-Platz 1 3.Stock
Thursday 09.11. 09:45 - 11:15 Seminarraum 16 Oskar-Morgenstern-Platz 1 3.Stock
Thursday 16.11. 09:45 - 11:15 Seminarraum 16 Oskar-Morgenstern-Platz 1 3.Stock
Thursday 23.11. 09:45 - 11:15 Seminarraum 16 Oskar-Morgenstern-Platz 1 3.Stock
Thursday 30.11. 09:45 - 11:15 Seminarraum 16 Oskar-Morgenstern-Platz 1 3.Stock
Thursday 07.12. 09:45 - 11:15 Seminarraum 16 Oskar-Morgenstern-Platz 1 3.Stock
Thursday 11.01. 09:45 - 11:15 Seminarraum 16 Oskar-Morgenstern-Platz 1 3.Stock
Thursday 18.01. 09:45 - 11:15 Seminarraum 16 Oskar-Morgenstern-Platz 1 3.Stock
Thursday 25.01. 09:45 - 13:00 Seminarraum 13 Oskar-Morgenstern-Platz 1 2.Stock

Information

Aims, contents and method of the course

Game theory is a science of how to make choices when others are also making choices. Its central solution concept, Nash equilibrium, involves very strong assumptions on the players. They need to be rational, there must be a common belief that all are rational and their beliefs have to coincide with the play. We will give an overview of some alternative concepts for making predictions in games. Part of the material will be learned by reading and discussing research papers.
Topics include:
- Evolution
- Learning
- Beating the average (new research)
Goal: Teach students how to make predictions in strategic settings without using the standard but heroic concept of Nash equilibrium.

Assessment and permitted materials

The grade of the course is determined based on midterm (40%) and final exam (40%) and and take home assignments (20%).

Minimum requirements and assessment criteria

This is a course for Masters students. This course should only be taken if you have already passed a master course on Game Theory.

Examination topics

Reading list

Weibull, J. (1997), Evolutionary Game Theory, MIT Press.
Fudenberg, D., and D. Levine (1998), The Theory of Learning in Games, MIT Press.

Association in the course directory

Last modified: Mo 07.09.2020 15:29