English, Article, Journal or magazine article edition: Learning in experimental 2×2 games Sebastian J. Goerg; Thorsten Chmura; Reinhard Selten

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Bookmark: http://trove.nla.gov.au/version/52862
Physical Description
  • preprint
Language
  • English

Edition details

Title
  • Learning in experimental 2×2 games
Author
  • Sebastian J. Goerg
  • Thorsten Chmura
  • Reinhard Selten
Physical Description
  • preprint
Notes
  • In this paper we introduce four new learning models: impulse balance learning, impulse matching learning, action-sampling learning, and payoff-sampling learning. With this models and together with the models of self- tuning EWA learning and reinforcement learning, we conduct simulations over 12 different 2×2 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.
  • Learning, Action-sampling, Payo?-sampling, Impulse balance, Impulse matching, Reinforcement, self-tuning EWA, 2×2 games, Experimental data
  • RePEc:bon:bonedp:bgse18_2008
Language
  • English
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