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Rage against the machines : how subjects play against learning algorithms

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2009

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Kolb, Albert
Oechssler, Jörg
Schipper, Burkhard C.

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Open Access-Veröffentlichung
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Economic Theory. 2009, 43(3), pp. 407-430. ISSN 0938-2259. eISSN 1432-0479. Available under: doi: 10.1007/s00199-009-0446-0

Zusammenfassung

We use a large-scale internet experiment to explore how subjects learn to play against computers that 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 explore how subjects' performances depend on their opponents' learning algorithm. Furthermore, 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.

Zusammenfassung in einer weiteren Sprache

Fachgebiet (DDC)
330 Wirtschaft

Schlagwörter

Learning, Fictitious play, Imitation, Reinforcement, Trial & error, Strategic teaching, Cournot duopoly, Experiments, Internet

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ISO 690DÜRSCH, Peter, Albert KOLB, Jörg OECHSSLER, Burkhard C. SCHIPPER, 2009. Rage against the machines : how subjects play against learning algorithms. In: Economic Theory. 2009, 43(3), pp. 407-430. ISSN 0938-2259. eISSN 1432-0479. Available under: doi: 10.1007/s00199-009-0446-0
BibTex
@article{Dursch2009again-23212,
  year={2009},
  doi={10.1007/s00199-009-0446-0},
  title={Rage against the machines : how subjects play against learning algorithms},
  number={3},
  volume={43},
  issn={0938-2259},
  journal={Economic Theory},
  pages={407--430},
  author={Dürsch, Peter and Kolb, Albert and Oechssler, Jörg and Schipper, Burkhard C.}
}
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