nstance f(P,C) = cp(P) x r(C, where cp(P), the complexity penalty of P, is a positive function that decreases when P gets larger and with r(C, = GetStrength SimilarityLink C SatisfyingSet(P) This is an optimization problem over predicate space, which can be solved in an approximate way by the evoluti

=cp(S)xr(S,C) Let Q(C) be the set of pairs (X, Y) so that ExecutionLink C X Y, and EFTA00624488 342 41 Integrative Procedure Learning r (S, G) GetStrength SubsetLink GM) Graph(S) where Graph(S) denotes the set of pairs (X, Y) so that ExecutionLink S X Y, where S has been executed over all valid inp

lue object associated with the link (IntensionalInheritance Ben monster) is equal to .5. This is different than saying EquivalenceLink ExOutLink GetStrength ExOutLink GetTruthValue IntensionalInheritanceLink Ben monster NumberNode 0.5 EFTA00624175 20.2 Denoting Atoms 29 which refers to an equival