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Rage against the machines : how subjects learn to play against computers
Dürsch, Peter
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Kolb, Albert
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Oechssler, Jörg
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Schipper, Burkhard
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URL:
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http://ub-madoc.bib.uni-mannheim.de/2625
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URN:
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urn:nbn:de:bsz:180-madoc-26259
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Document Type:
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Working paper
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Year of publication:
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2005
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The title of a journal, publication series:
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None
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Publication language:
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English
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Institution:
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School of Law and Economics > Sonstige - Fakultät für Rechtswissenschaft und Volkswirtschaftslehre
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MADOC publication series:
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Sonderforschungsbereich 504 > Rationalitätskonzepte, Entscheidungsverhalten und ökonomische Modellierung (Laufzeit 1997 - 2008)
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Subject:
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300 Social sciences, sociology, anthropology
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Classification:
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JEL:
C72 D43 C92 C91 L13 ,
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Subject headings (SWD):
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Planspiel , Lernen , Dyopol , Videospiel , Nichtkooperatives Spiel , Theorie , Test
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Keywords (English):
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learning , fictitious play , imitation , reinforcement , trial & error , strategic teaching , Cournot duopoly , experiments , internet
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Abstract:
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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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Additional information:
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 | Das Dokument wird vom Publikationsserver der Universitätsbibliothek Mannheim bereitgestellt. |
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