A new approach is described that allows replacing traditional monitoring with cognitive monitoring. The basic provisions of cognitive monitoring are exposed and its peculiar features identified. A set of nested hierarchical relatively finite operation automatons is proposed for the formal description of cognitive monitoring models. The general cognitive monitoring algorithm is exposed. Quantitative cognitive monitoring efficiency estimates are provided by two key indices, namely the number of simultaneously observed objects and fullness of synthesized object models.