The work elaborates on previous attempts to outperform cognitive models developed by social scientists by ML algorithms. The authors use the BEAST model to create a synthetic dataset and internalize its weight in a neural network. Unlike previous attempts, the model can work only on raw data without exhaustive feature engineering and achieve unseen performance.

• What is the BEAST model
• synthetic dataset for human choice decisions: advantages and disadvantages
• application of cognitive model priors in ML products
• Graph NN for predicting human decisions