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REVEALING CHOICE BRACKETING
The dataset used in the Revealing Choice Bracketing experiment, consisting of choices from five decision rounds, each consisting of one or two subdecisions. -
CPC-18: Choice Prediction Competition Dataset
CPC-18 dataset is a benchmark dataset for evaluating behavior-based decision making. It covers a wide range of anomalies compared to other datasets and is one of the enormous... -
Respect Your Emotion: Human-Multi-Robot Teaming based on Regret Decision Model
The dataset used in the paper is a teaming dataset, where a human operator is teamed with multiple robots to perform a domain search task. The dataset includes information about... -
Machina reflection example
A dataset representing the Machina reflection example, with 94 students ranking the four acts in a payoff matrix. -
Ellsberg three-color urn experiment
A dataset representing the Ellsberg three-color urn experiment, with 57 participants ranking the four acts in a payoff matrix. -
Copenhagen Experiment
The dataset used in the Copenhagen Experiment (CE) to test the Ergodicity Economics (EE) framework. -
Evolution of Forecasting
The dataset used in the paper to study the evolution of forecasting for decision-making in dynamic environments. -
The Indirect Cost of Information
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... -
Left-turn gap acceptance decisions
The dataset used in the study on left-turn gap acceptance decisions by human drivers. -
Table 1. A (Partial) Dataset
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... -
Synthetic Prescriptive Learning Dataset
The dataset used in the paper is a synthetic dataset for prescriptive learning, which contains features and outcomes for a binary treatment. -
Quantum Decision Theory
The dataset is used to describe the evolution of behavioral probability in quantum decision theory. -
Foundation Models for Decision Making
A dataset for training foundation models for decision making, consisting of interactive trajectories. -
Black Swan events
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 Novel Approach to Fairness in Automated Decision-Making
A dataset for measuring affective normalization of outcome mappings. -
Two-step task
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)... -
Risk Perception
The dataset contains people’s risk perceptions of technological hazards, activities, and participant-generated risk sources.
