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 trees and logistic regressions. For this purpose, multilayer perceptrons are trained on the same data as in the …

to what a traditional rational optimizing agent would choose. This model is a first step to understand decision-making in …