  There exists a theory of a single general-purpose learning algorithm which
could explain the principles its operation. It assumes the initial rough
architecture, a small library of simple innate circuits which are prewired at
birth. and proposes that all significant mental algorithms are learned. Given
current understanding and observations, this paper reviews and lists the
ingredients of such an algorithm from architectural and functional
perspectives.
