Human Learning in Dynamic Games – A Behavioral Perspective

We review the experimental learning in games literature, and identify avenues for behavioral mechanism design. The focus of this review will be on recent results that investigate the effects of feedback and information on the behavior of humans in dynamic environments involving other humans and algorithms. These dynamic environments include repeated double-sided auctions and karma auctions. We also review methods to quantify dynamic effects in experimental data, and discuss new behavioral trends that arise due to the dynamics.