Experimental Data and Analysis for Simulating Decision-Maker Behaviour Using Prospect Theory

Published: 24 August 2026| Version 1 | DOI: 10.17632/knd8gnrzrn.1
Contributor:

Description

This dataset contains the raw experimental data and computational analysis supporting the results presented in the accompanying research article. The dataset includes the experimental data generated during the study and a Jupyter Notebook implementing the complete data processing and analysis workflow.

Files

Steps to reproduce

1. Download all files included in the dataset. 2. Place exp_data.csv and analysis.ipynb in the same directory. 3. Install Python and the required dependencies listed in the notebook or README.md. 4. Open analysis.ipynb using Jupyter Notebook or JupyterLab. 5. Ensure that exp_data.csv is located in the same directory as the notebook. 6. Run all cells in the notebook from the beginning to the end. 7. The notebook performs the data processing, calculations, statistical analysis, and generates the results and figures reported in the accompanying manuscript.

Institutions

Categories

Social Sciences, Soft Computing, Decision Science, Decision Making, Behavioral Decision Making Theory

Funders

Licence