Learning about learning in games through experimental control of strategic interdependence
نویسندگان
چکیده
منابع مشابه
Learning about Learning in Games through Experimental Control of Strategic Interdependence
We conduct experiments in which humans repeatedly play one of two games against a computer decision maker that follows either a reinforcement learning algorithm or an Experience Weighted Attraction algorithm. The human/algorithm interaction provides results that can’t be obtained from the analysis of pure human interactions or model simulations. These learning algorithms are more sensitive than...
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ژورنال
عنوان ژورنال: Journal of Economic Dynamics and Control
سال: 2012
ISSN: 0165-1889
DOI: 10.1016/j.jedc.2011.09.007