Artificial Generation of New Knowledge: Modeling Thinking Processes to Obtain New Knowledge outside the Human Brain

The human brain cannot think by the rules of mathematics by its nature, it thinks according to the rules that evolution has determined him. Nevertheless, it was the “non -dumatic” brain that created mathematics. For what?
The mathematical language guarantees the maximum intuitive truth of the output conclusions, which, in principle, should not have alternatives and contradictions due to the corresponding choice of the system with axioms, evidence of theorems and other things.
In contrast to the mathematical, our natural verbal language contains alternatives to almost any conclusion. The ontology of knowledge in a verbal language is a kind of informational “broth”, consisting of alternative and contradictory, but true data on the subject area. Of the two alternative statements: the glass is half empty and half full - both true. From this verbal “broth”, the brain forms stable structures in the form of semantic nuclei of the truth of knowledge. These semantic nuclei are semantic units of thinking. It is precisely such structures that the brain uses in its implementation of the “non -dummer” process of generating new knowledge, realizing the principle of “truth from uncertainty”, as well as the “order of their chaos”. This approach has been investigated and proposed as a working hypothesis about the possibility of generating new knowledge outside the human brain.
The manual is designed for bachelors, masters, graduate students and scientists studying the problems of generating new knowledge, cognitive methods, artificial intelligence and related issues and tasks