Please use this identifier to cite or link to this item: http://hdl.handle.net/10419/37045
Authors: 
Chmura, Thorsten
Goerg, Sebastian J.
Selten, Reinhard
Year of Publication: 
2008
Series/Report no.: 
Bonn econ discussion papers 2008,18
Abstract: 
In this paper we introduce four new learning models: impulse balance learning, impulse matching learning, action-sampling learning, and payof-sampling learning. With this models and together with the models of self-tuning EWA learning and reinforcement learning, we conduct simulations over 12 different 2 x 2 games and compare the results with experimental data obtained by Selten & Chmura (2008). Our results are two-fold: While the simulations, especially those with action-sampling learning and impulse matching learning successfully replicate the experimental data on the aggregate, they fail in describing the individual behavior. A simple inertia rule beats the learning models in describing individuals behavior.
Subjects: 
Learning
Action-sampling
Payoff-sampling
Impulse balance
Impulse matching
Reinforcement
self-tuning EWA
2 x 2 games
Experimental data
JEL: 
C72
C91
C92
Document Type: 
Working Paper

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