  In this paper, we propose the Neural Knowledge DNA, a framework that tailors
the ideas underlying the success of neural networks to the scope of knowledge
representation. Knowledge representation is a fundamental field that dedicate
to representing information about the world in a form that computer systems can
utilize to solve complex tasks. The proposed Neural Knowledge DNA is designed
to support discovering, storing, reusing, improving, and sharing knowledge
among machines and organisation. It is constructed in a similar fashion of how
DNA formed: built up by four essential elements. As the DNA produces
phenotypes, the Neural Knowledge DNA carries information and knowledge via its
four essential elements, namely, Networks, Experiences, States, and Actions.
