Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/22864 
Year of Publication: 
2003
Series/Report no.: 
Bonn Econ Discussion Papers No. 15/2003
Publisher: 
University of Bonn, Bonn Graduate School of Economics (BGSE), Bonn
Abstract: 
In this article, a modelling framework for the information transmission between agents in an evolutionary game setting is proposed. Agents observe traits which reaect past and present behaviour and success of other agents. If agents imitate more successful agents based on these traits, the resulting dynamics are a multivariate stochastic process. An example for such a process is simulated. The results resemble the replicator dynamics to a remarkable degree. If traits moderately depend on the past, this accelerates convergence of the dynamics towards a stable state. If the dependence is strong, the stable state is not reached.
Subjects: 
replicator dynamics
imitation
evolution of cooperation
information transmission
simulation
JEL: 
C73
D83
Document Type: 
Working Paper

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