I might learn nothing from reading a book written in Italian. A specialist expert may learn nothing from a book written about some other specialty.
Asa H can be given specialist knowledge by loading a casebase learned previously. It may be that Asa should ignore input which is outside of its area of specialization. (To do otherwise may just fill the memory with useless information and slow down Asa's cognitive processing.) This can be accomplished by having Asa ignore input when the similarity measure is sufficiently low. Whole data files can be detected and skipped in this way.