Formulation of the problem. An analysis of the construction of information systems was carried out and the requirements for the appearance of intelligent training systems were determined. Model support for the analysis of an intelligent training system (ITS) is based on the use of modeling methods, their integration with existing methods and tools, providing dynamic modeling of the functional and structural properties of its information architecture. Target. To propose a new approach to formalizing the process of developing an ITS information architecture. Results. From the analysis of the content of educational and training tasks, general patterns have been identified that make it possible to apply system-forming principles to represent ITS, which comprehensively characterize the information process of modeling its information architecture based on the functional (F), structural (S) and information (I) aspects . The principles represent hierarchical categories, each of which reflects one of the levels of information interaction of models that make up the functional, structural and information levels of the interprogram interface, taking into account their level-by-level interaction. Each aspect of the consideration of models is characterized by content that generally reflects one of the aspects of the modeling object. In general, the principles reflect the paradigm of three-level information interaction of information objects, which uses for analysis existing approaches to modeling information architecture in the interests of implementing the invariant process of ITS functioning in relation to its pragmatic field. Information interaction between information objects represents the implementation of functional, structural and information relationships between objects and in their structure. Information relations in an ITS are determined by the presence of open ISF interfaces among information objects that form its information structure. The integrated model of these structures is a dynamic model of ITS, since informational and structural properties determine the conditions, and functional properties determine the nature of possible actions. Since the interaction levels are hierarchically coupled, the dynamic ITS model has a hierarchical structure. The implementation of interaction of information objects through ISF interfaces determines the transition of ITS to simulated states. The ITS information architecture model is presented in the form of a modular-cluster network structure. It is based on the principle of stratification of ITS into functional information models that implement the introduced aspects of the analysis of information interaction with grouping into clusters, reflecting the functional and structural properties of its information architecture. Practical significance. The functional and structural properties of the ITS information architecture were formalized on a variety of models (modules), their interfaces and information relationships, ensuring the development of a formal formulation of the problem of analyzing the ITS information architecture.