Artificial intelligence as a post-stage of natural intelligence

Abstract

The problem of creating artificial intelligence is discussed. It is argued that trying to create it on binary computers is a deadlock. It is proposed to move from binary logic to ternary, and then to multivalued or fuzzy logic as a first step. The second obstacle is brain mapping using a Cartesian coordinate system. It is suggested that we move to a tree-like coordinate system. With blockchain technology, it is possible to back up epy thinking of a particular individual, for example for medical purposes to restore a person’s memory after amnesia, if ternary is used. In the next experimental stage, an object with elements of both natural and artificial intelligence is created, which can be used to retrieve answers from a person who has already passed away. In this sense, the created complex intelligence can be considered as a post-stage of natural intelligence. To create artificial intelligence, it is necessary to connect thought chains recorded from different people, then solve the problem of “gluing” trees with different hierarchy, association formation system and cause-effect relationships, and move from ternary logic to multivalued or fuzzy logics.