In this paper we present a system that uses its underlying
physiology, a hierarchical memory and a collection of memory
management algorithms to learn concepts as cases and to
build higher level concepts from experiences represented as
sequences of atoms. Using a memory structure that requires
all base memories to be grounded in introspective atoms, the
system builds a set of grounded concepts that must all be
formed from and applied to this same set of atoms. All interaction the system has with its environment must be represented by the system itself and therefore, given a complete ability to perceive its own physiological and mental processes,can be modeled and recreated