An investigation into human learning and understanding of risks from number and experience-based information design; using data, cognitive machine-learning, and Bayesian statistics....
Classification belongs to the core machine-learning topics; we investigate if and which mathematical similarity metric produces human-like good classification performance....
Step-by-step instruction for building computational models of cognitive (learning/thinking/decision-making) processes; and a data-driven description of the state of the process-modeling field....
A roadmap for obtaining the required sample size for mathematical and machine-learning data modelers through simulation....
Finding the drivers of human risk information perception and behavior in life domains such as health, food, investments, and family....