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.
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