Rage against the machines : how subjects learn to play against computers


Dürsch, Peter ; Kolb, Albert ; Oechssler, Jörg ; Schipper, Burkhard


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URL: http://ub-madoc.bib.uni-mannheim.de/2625
URN: urn:nbn:de:bsz:180-madoc-26259
Document Type: Working paper
Year of publication: 2005
Publication language: English
Institution: School of Law and Economics > Sonstige - Fakultät für Rechtswissenschaft und Volkswirtschaftslehre
MADOC publication series: Sonderforschungsbereich 504 > Rationalitätskonzepte, Entscheidungsverhalten und ökonomische Modellierung (Laufzeit 1997 - 2008)
Subject: 300 Social sciences, sociology, anthropology
Classification: JEL: C72 D43 C92 C91 L13 ,
Subject headings (SWD): Planspiel , Lernen , Dyopol , Videospiel , Nichtkooperatives Spiel , Theorie , Test
Keywords (English): learning , fictitious play , imitation , reinforcement , trial & error , strategic teaching , Cournot duopoly , experiments , internet
Abstract: 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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Das Dokument wird vom Publikationsserver der Universitätsbibliothek Mannheim bereitgestellt.




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Dürsch, Peter ; Kolb, Albert ; Oechssler, Jörg ; Schipper, Burkhard (2005) Rage against the machines : how subjects learn to play against computers. Open Access [Working paper]
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