Artificial Learning in Artificial Memories

- Memory refinements are designed below to detect those sequences of actions that have been repeated a given number n. Subsequently such sequences are permitted to run without CPU involvement. Actions are rehearsed and once learned, they are performed automatically without conscious involvement. Introduction This paper is written from the perspective of designing artificial brains that are modeled after human brains. This architectural work pays attention to human psychology including the interplay between short and long term memory, the realization of which is assumed constrained by circuit and system theory. This paper is a humble attempt, but at least it has an original aspect.