In biological systems the process of symbol grounding is realised at a neural level. But in case of artificial subjects it must be done by certain organisations of private data structures and data collections, and by internal data processing and recognition algorithms. In this work a possible way of implementation of the well - known problem of symbol grounding is presented. The idea of an algorithm of grounding formulas in a private agent's data structure is given. It is assumed that from the agent's point of view stored perceptions are the original source of any meaning accessible for cognitive processes of symbol grounding. This algorithm is used when the state of a particular object from external world is not known. As a results the logic formulas with modal operators and descriptive connectives are generated.
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