The article shows the change of the paradigm of environment-oriented training of operators of complex systems on simulators using high-precision models of real control systems and the environment of their application. The evolution of the technogenic environment leads to an increase in the complexity of professional activities, which prevents the implementation of simple algorithmic learning technologies. The forecasts for the reduction of the human role in the ergatic systems are not justified. New ergatic systems using artificial intelligence technologies require operators to have qualities that
exceed human capabilities, which requires project expertise and evaluation
of user management complexity. The reasons leading to the non-classical
methodology of “complex learning”, taking into account the processes of
self-organization and orientation of the student in a complex dynamic context, are shown. We examined the promising technology and the structure of
the simulators that implement the symbiotic environment-oriented training.