Traps for Artificial Intelligence

The course of artificial intelligence development in the XXI century in the context of formation of new technological modes and post-nonclassical management paradigm can be forecasted based on analysis of its many-sided and thorny historical retrospective. This way, of course, is not assured from unexpected traps. However, they can be avoided by finding new solutions in unfamiliar spaces for modeling, based on other approaches to solving complex problems and semantic interpretation of data by synthesizing for these innovations still unknown materials for computer memory and processors.