Researchers have used supercomputers to apply more rigorous statistical methods to psychological studies of self-regulation. The work aimed to uncover the underlying structures of the mind, a process they call ''data-driven ontology discovery.'' They found that some issues had simple ontological fingerprints, but that others were more complicated. They also found that task-based studies -- common in psychological research -- had almost no predictive ability.