Ankara : Institute of Economics and Social Sciences of Bilkent University, 1997.Thesis (Master's) -- Bilkent University, 1997.Includes bibliographical references leaves 35-37There are various computer-based algorithms about boundedly rational players’
learning how to behave in dynamic games, including classifier systems, genetic algorithms
and neural networks. Some examples of studies using boundedly rational
players are Axelrod (1987), Miller (1989), Andreoni and Miller (1990) who use genetic
algorithm and Marimon etal. (1990) and Arthur (1990) who use classifier
systems. In this dissertation, a Two Armed Bandit Problem and the KiyotakiWright
(1989) Economic Environment are constructed and the learning behaviour
ol the boundedly rational players is observed by using classifier systems in computer
programs. From the simulation results, we observe that experimentation and imitation
enables faster convergence to the correct decision rules of players in both
repeated static decision problems and dynamic games.Aksoy, HakanM.S
