12 datasets found

The dataset used in the paper is CheXplain, a system that enables physicians to explore and understand data-driven, AI-enabled medical imaging analysis.

The dataset is used to study the indirect cost of information, which is defined as the lowest total direct cost of sequentially acquiring information to replicate an information...

The dataset used in the study on left-turn gap acceptance decisions by human drivers.

A simulated dataset with 80 total patients. Column 2 (3) shows the number of patients that are healthy (diseased) and have the characteristics in Column 1. Column 3 shows the...

The dataset used in the paper is a synthetic dataset for prescriptive learning, which contains features and outcomes for a binary treatment.

The dataset is used to describe the evolution of behavioral probability in quantum decision theory.

A dataset for training foundation models for decision making, consisting of interactive trajectories.

The dataset used in this paper is a set of events that are unimaginable for a given agent, which we call Black Swan events.

A dataset for measuring affective normalization of outcome mappings.

The two-step task is a popular option for studying sequential choice in humans (and animals) [2]. It was originally designed to investigate model-based (MB) and model-free (MF)...

The pPCA dataset is a linear model for which posterior inference is tractable.

The dataset contains people’s risk perceptions of technological hazards, activities, and participant-generated risk sources.