To carry out this idea, he proposed to make a child's brain instead of trying to make an adult brain, and thus educate it to obtain the brain of an adult.In this way, he divides the problem into two parts: the 'child' program and the education process.He explains that we should not expect the first 'child' machine to come out on the first attempt and that we should teach it to see how its learning evolves.Thus, after several attempts, they would be getting better machines (or even worse), something that Turing compared with the process of evolution and that several researchers would later develop under the name of genetic algorithms [3].