  The field of artificial intelligence has seen explosive growth and
exponential success. The last phase of development showcased deep learnings
ability to solve a variety of difficult problems across a multitude of domains.
Many of these networks met and exceeded human benchmarks by becoming experts in
the domains in which they are trained. Though the successes of artificial
intelligence have begun to overshadow its failures, there is still much that
separates current artificial intelligence tools from becoming the exceptional
general learners that humans are. In this paper, we identify the ten
commandments upon which human intelligence is systematically and hierarchically
built. We believe these commandments work collectively to serve as the
essential ingredients that lead to the emergence of higher-order cognition and
intelligence. This paper discusses a computational framework that could house
these ten commandments and suggests new architectural modifications that could
lead to the development of smarter, more explainable, and generalizable
artificial systems inspired by a neuromorphic approach.
