Algorithm-based decision support systems play an increasingly important role in decisions involving exploration tasks … rather than exploitation, and model the participants' decision-making processes using a learning model comparable to the …

Human decision-making differs due to variation in both incentives and available information. This generates substantial … challenges for the evaluation of whether and how machine learning predictions can improve decision outcomes. We propose a … decision maker payoff functions and predictive skill. We apply our framework to the major health policy problem of improving …

decision-making in the context of initial play in two-player matrix games, analyzing over 90,000 human decisions across more …

This paper presents novel evidence for the prevalence of deviations from rational behavior in human decision making …