The present paper shows that the term “complexity” includes absolutely different notions than now it seems to be presented in modern science and philosophy. Postnon-classics has come to this new recognition too close, but, actually, it is a new recognition of uncertainty for systems of the third type (not deterministic and not stochastic). We introduce the interpretation of a type I uncertainty that implies that stochastic methods show systems identified, but methods of the theory of chaos and self-organization and neurocomputing show significant difference of target systems (processes). With specific examples presented uncertainty of type 1 and gives an idea of the uncertainty of type 2, when the distribution function f (x) for different samples are the same. At the same neuro-computers not only divides the sample, but also shows the order parameters. In this case, at the same time solve the problem of system synthesis, which in society is now very difficult to solve (the basic model of social relations now – it´s deterministic society).