  The paper consists of the two independent papers:(Part V) We see that exact
equations of quantum and classical mechanics describe ideal dynamics which is
reversible and leads to Poincare's returns. Real equations of physics
describing observable dynamics, for example, hydrodynamic equations of viscous
fluid, are irreversible and exclude Poincare's returns to the initial state.
Besides, these equations describe systems in terms of macroparameters or phase
distribution functions of microparameters. For many systems introduction of
macroparameters that allow exhaustive describing of dynamics of the system is
impossible. Their dynamics becomes unpredictable in principle, sometimes even
unpredictable by the probabilistic way. We will refer to dynamics describing
such system as unpredictable dynamics. Dynamics of unpredictable systems is not
described and not predicted by scientific methods. Thus, the science itself
puts boundaries for its applicability. But such systems can intuitively
"understand itself" and "predict" the behavior "of its own" or even
"communicate with each other" at intuitive level. (Part VI) Perspective of the
future of artificial intellect (AI) is considered. It is shown that AI
development in the future will be closer rather to art than to science. Complex
dissipative systems whose behavior cannot be understood completely in principle
will be the basis of AI. Nevertheless, it will not be a barrier for their
practical use.
