Increasing the number of A.s.a.'s sensors

A.s.a. H. decomposes sensory input into hierarchical sets of commonly recurring patterns. 

Adding additional sensors to its AI robots should allow A.s.a. to make greater use of lower level patterns.

As an example: humans have unique scents that enable dogs to identify/differentiate each of them, one from another. A dog need not learn to identify various different human faces, for example. (Faces are a complex pattern situated further up in the concept abstraction hierarchy.) Adding a sense of smell allows differentiation to occur at a lower (simpler) level of abstraction.