Adaptive learning under strategic and structural uncertainty: the case of auction games
M. Martinez-Saito, A. Belianin, A. Shestakova, B. Gutkin, V. Klucharev
The paper studies how humans learn in auction games with uncertainty, finding that simple directional learning models best describe behavior, reflecting bounded rationality and risk aversion.
bioRxiv · Aug 22, 2020 · PreprintAnimal Behavior & Cognition