SOME ASPECTS OF SITUATION-SEMANTIC MODELING OF COMPLEX OBJECTS, PROCESSES AND SYSTEMS

Abstract

The development of complex systems requires the preliminary modeling of their management, information and other components. Simulation of complex objects, processes and systems can be based on different models, the choice of which is determined by the tasks and subject area.

The authors propose the simulation of complex objects, processes and systems based on the multilevel model of a special class of semantic networks - situational-semantic networks, in which situations cause not only the description of the model at any level, but also the transition from one level to another.

Therefore, the purpose of this article is to study semantic networks, to define their basic principles, and to propose a new class of semantic networks for multilevel modeling of complex objects, processes, and systems, taking into account the standardization of situations in which these objects, processes and systems can appear.

Formalized description of the model allows to determine the state of a complex object, process (including information) or system, to analyze and predict actions on their development and improvement.