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Title:Rage Against the Machines: How Subjects Learn to Play Against Computers PDF Logo
Authors:Dürsch, Peter
Kolb, Albert
Oechssler, Jörg
Schipper, Burkhard C.
Issue Date:2005
Series/Report no.:Bonn econ discussion papers 2005,31
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.
Subjects:learning
fictitious play
imitation
reinforcement . trial & error
strategic teaching
Cournot duopoly
experiments
internet
JEL:D43
L13
C72
C92
C91
Document Type:Working Paper
Appears in Collections:Bonn Econ Discussion Papers, Bonn Graduate School of Economics (BGSE), Universität Bonn

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