Confusion and reinforcement learning in experimental public goods games (original) (raw)
Abstract
AI
This paper investigates the role of confusion in public goods games, focusing on how misunderstanding of the experimental tasks affects decision-making in repeated rounds. It contrasts the typical interpretative frameworks - strategic behavior and learning - with an emphasis on 'ignorant' confusion where participants lack awareness of both the incentive structures and peers’ past contributions. By introducing a specific experimental treatment designed to mimic this lack of information, the research aims to clarify the thus-far ambiguous relationship between confusion and simulated cooperation in public goods provision.
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