A multi-agent algorithm for substantiating the symbols of a conventional language based on situational development of neurocognitive architecture

The purpose of this study is to develop methods and algorithms for justifying natural language symbols in the course of its development by an intelligent agent when interacting with other agents. A multi-agent neurocognitive architecture of an intelligent agent immersed in a communicative environment has been developed, which forms functional systems based on the coordinated interaction of agents-neurons in its composition. A multi-agent algorithm for substantiating symbols of a simplified conventional language, consisting of single-character words, has been developed, using such functional systems to formalize semantics, taking into account the context of communication.