Knowledge means structured or organised information. At present our information about the behavior of nature and the gained knowledge as structured information pattern are generated by human intelligence. Then we use these knowledge-bases to teach artificial neural networks – like deep learning systems -, which then will be able to mimic the given intelligent process. The metamathematically grasped matrix-polynomials capable of holographical self-organisation and self-adaptation offer a chance to model intelligent learning processes.

These autonomic machine-learning systems could offer a major advancement for the acceleration of artificial knowledge-engineering and for the heuristic generation of new knowledge, which could shed light on the function of human intuition and its artificial duplication.