English, Article, Journal or magazine article edition: Rage Against the Machines: How Subjects Learn to Play Against Computers Peter Dürsch; Albert Kolb; Jörg Oechssler; ...

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Bookmark: http://trove.nla.gov.au/version/52625
Physical Description
  • preprint
Language
  • English

Edition details

Title
  • Rage Against the Machines: How Subjects Learn to Play Against Computers
Author
  • Peter Dürsch
  • Albert Kolb
  • Jörg Oechssler
  • Burkhard C. Schipper
Physical Description
  • preprint
Notes
  • RePEc:trf:wpaper:63
  • RePEc:awi:wpaper:0423
  • 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
  • learning; fictitious play; imitation; reinforcement; trial &​ error; strategic teaching; Cournot duopoly; experiments; internet
  • RePEc:bon:bonedp:bgse31_2005
Language
  • English
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