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Rage Against the Machines: How Subjects Learn to Play Against Computers

  • Peter Dürsch
  • Albert Kolb
  • Jörg Oechssler
  • Burkhard C. Schipper

We use an experiment to explore how subjects learn to play against computers which are programmed to follow one of a number of standard learning algorithms. The learning theories are (unbeknown to subjects) a best response process, fictitious play, imitation, reinforcement learning, and a trial & error process. We test whether subjects try to influence those algorithms to their advantage in a forward-looking way (strategic teaching). We find that strategic teaching occurs frequently and that all learning algorithms are subject to exploitation with the notable exception of imitation. The experiment was conducted, both, on the internet and in the usual laboratory setting. We find some systematic differences, which however can be traced to the different incentives structures rather than the experimental environment

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Paper provided by University of Bonn, Germany in its series Bonn Econ Discussion Papers with number bgse31_2005.

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Length: 45
Date of creation: Oct 2005
Date of revision:
Handle: RePEc:bon:bonedp:bgse31_2005
Contact details of provider: Postal: Bonn Graduate School of Economics, University of Bonn, Adenauerallee 24 - 26, 53113 Bonn, Germany
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