Matrix, in other words, in 30 years we will be hybrids
In the near future, the development of the Internet of Things and subsequent steps to improve artificial intelligence are to make collecting information by objects and applications not only a common phenomenon, but also will reach an unprecedented scale. This is a challenge to be faced by the decisional DNA. It is all about concentrating this knowledge in the most effective tool possible. This can be compared to the "Matrix" trilogy, in which the protagonist learns martial arts by connecting to a special machine that installs new skills in his brain like programs on a hard disk.
– We are able to collect knowledge, formalize it into sets and bases, which may consist of the so-called SOEKS - Set of Experience Knowledge Structure, i.e. a set of experiences from a given situation. We proposed a new tool to solve the traveling salesman problem, i.e. a typical logistics problem in the area of operational research. SOEKS absorbs past experiences from all experiments, regardless of whether it is a good or bad experience, says Prof. Edward Szczerbicki.
AI-based decision support can be used in almost every area of life. The aforementioned traveling salesman problem has been described in a scientific article titled "Evolutionary algorithm and decisional DNA for multiple traveling salesman problem” in the pages of the "Neurocomputing” journal, whereas the concept of decisional DNA has been implemented in over 20 research projects around the world. Thanks to the concept, it was possible to indicate the optimal locations for geothermal installations in Australia, the optimal time for servicing cars and machines in Spain, or to facilitate decisions on granting installment and investment loans for the banking sector in Poland.
More info at
https://zie.pg.edu.pl/en/homepage/2021-12/dna-encrypted-algorithms-expand-cognitive-abilities