Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/20091 
Year of Publication: 
2003
Series/Report no.: 
IZA Discussion Papers No. 849
Publisher: 
Institute for the Study of Labor (IZA), 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 reflect 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: 
D83
C73
Document Type: 
Working Paper

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