Machine-generated theories of human decision-making.

The article discusses a study by J. C. Peterson et al on generating theories of human decision-making using machine-learning algorithms. Topics include the importance of prospect theory in helping people or organizations make risky choices, the study's demonstration of the true power of using deep neural networks when humans make decisions in their choice problems, and the predictive gains of the the study relative to existing human-generated theories.