To better understand decision-making, researchers can create computational models—groups of equations that aim to predict what decisions people would make when faced with a set of choices. For example ...

For instance, when analyzing 100 matches of Kyoto Sanga FC, the probability distribution is relatively uniform. This uniformity means that predicting specific goal counts becomes significantly more ...

Development of numerical models to predict the temperature in the product container´s thermal center through a non-stationary simulation of the thermal process to estimate the treatment time necessary ...

A numerical experiment from one of the papers by Badings and ... We then plug the model of the uncertainty, such as a probability distribution over these parameters, into the Markov model. "Using ...