Machine learning and Artificial Knowledge Emergence

A Knowledge-Activation and self-increasing model is built. First, on the base of the All Set and the Extenics theory, Matter-Element is the foundational description of knowledge, and Knowledge-Iterative-Extension is achieved to improve the convergence of knowledge-space. Then the function of knowledge matching is set up by the Set Pair Analysis, which is excelled at solution matching. The Matter-Element equation is used to get the transitive closure of answers by setting several parameters, the process of Knowledge-Activation is carried out and it makes the knowledge-library increasing spontaneously Finally, the knowledge emergence is measured by the criterion defined in the end; a better model of Machine Learning is completed.