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Title:Rage against the machines: how subjects learn to play against computers PDF Logo
Authors:Schipper, Burkhard C.
Dürsch, Peter
Kolb, Albert
Oechssler, Jörg
Issue Date:2008
Series/Report no.:Working papers // University of California, Department of Economics 05,16
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.
Document Type:Working Paper
Appears in Collections:Working Papers, Department of Economics, UC Davis

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