The consciousness-holomatrix principle – namely the mathematical treatment of the conscious information detection ability and its intelligent processing – could present us with the possibility for artificial consciousness and knowledge system creation. Since, as the Nobel laureate physicist Richard Feynman also pointed out: “what we can’t make, we don’t understand”.

Beside its revolutionary impact in AI researches, analysing the possibility to artificially generate consciousness- or cognitive holomatrices could help us to understand its utilization in naturally improving or upgrading the function of the human nervous system. This could manifest in revolutionary new teaching methods, whereupon by reverse-engineering the human intelligent processes and utilizing it to create the human cognitive-holomatrix we could restructure all the humanly conceived knowledges and learning methods in such a way so that it could be in tune with the natural cognitive processes of our nervous system.

By carrying on the thoughts of John von Neumann on the similarity of the function of the human brain and of a computer, we could safely say that the ill-success we experience today in teaching mathematics lies in the fact that the function of the human brain (as a computer) may rely on a completely different algebra than that of a computer. Accordingly, until the discovery of this correct algebra or process, our teaching methods as instruction sets will also be not in tune with it.

This means that instead of reproducing intelligent processes to transfer them into other carrier means – as it is envisioned by the transhumanists – the aim of AI researches could be to map and activate our unutilised intelligent and conscious abilities. In this way the further development of our intelligence and consciousness would be kept in our biological set-up and will be achieved and based on naturally inherited means and abilities.