Algorithms for the Synthesis of Natural Language Statements Based on Analysis of the Mission Problem Situation Graph

The problem of formalizing the semantics of natural language is key to solving the central issue of organizing interaction between people and artificial intelligence systems - the issue of creating an effective, fully functional dialog interface. The purpose of this study is to form a theoretical basis for solving the problem of mastering natural language by intelligent agents. The main objective of the work is to develop the basic principles and multi-agent algorithms for solving the problem of symbol justification based on simulation modeling of the construction of a semantic ontology of situationally determined natural language utterances in the process of language acquisition. The solution to the fundamental scientific problem of symbol justification, in our opinion, will give an unprecedented impetus to the development of applied developments in computer linguistics, will not only overcome the barriers of low applicability of existing types of applications, but will also contribute to the emergence of new classes of applications that will completely change the human-machine interface and methods of interaction in socio-technical systems.