Experimental and Evolutionary Game Theory
Level:
Doctoral
Course Status:
Elective
CEU code:
ECON 6590 - Experimental and Evolutionary Game Theory
CEU credits:
3
ECTS credits:
6
Term:
2nd
Academic year:
2009/2010
Semester:
Winter
Host Unit:
Department of Economics Academic Program:
External instructor(s):
Learning Outcomes:
(a) Bayesian rationality and Prospect
Theory; (b) the literature on experimental game theory; (c) dynamical systems in
two and three dimensions; (d) local stability theory of dynamical systems in ndimensions;
(e) agent-based modeling of complex dynamical systems; (f) dynamical
Markov models; (g) fundamental theorems of evolutionary game theory.
Full description:
The course covers Bayesian decision theory, behavioral game
theoretic data on individual choice and strategic interaction, and the dynamics of
strategic interaction, especially evolutionary game theory and stochastic game
theory.
The Goals of the Course: The student is expected to attain state-of-the-art
competence in behavioral choice and behavioral game theory, and have a hands-on
ability to formulate, simulate, and solve the dynamical systems associated with
game theory.