For example, given the formula parent(Susan; Ann), which describes the fact that Susan is one of Ann’s parents, the network will try to optimize the groundings of the predicate parent (i.e., the parameters in the tensor layer) and the groundings of Susan and Ann (i.e., their respective two vectors) in such a way that the degree of truth of the formula is close to 1.