IBMPath
Path modelling "builds step-by-step graphs, or paths, that trace possible causes rather than mere statistical correlations." (See citation.)
As such, it may more like human epistemic knowledge of stories and actions vs. semantic knowledge of fact.
"In the case of medicine at the Cleveland Clinic project, for example, the paths go from an observation of symptoms to a conclusion about the diagnosis of a disease and treatment.
That approach is a hybrid of the Big Data tools, which sift through troves of medical literature, and logic tools to identify likely chains of inference — what humans see as logical explanations for the “why” of things. The approach is also a step in the direction of classic artificial intelligence, which relied on knowledge rules and relationships, to create so-called expert systems." (Citation)