Classification and conditions of application of algorithms for automatic ontologization of the state space of a general artificial intelligence agent under the control of neurocognitive architecture

The purpose of the study is to form an algorithmic base for ontologizing the state space of a general artificial intelligence agent. The main objectives of the work are the classification of algorithms for the autonomous synthesis of ontologies of the “agent-environment” system and the selection of conditions for their application. The form and contents of the main ontologization algorithms for the state space of an intelligent agent of artificial general intelligence are determined and their classification is constructed. The mechanisms for the formation of concepts of functional representation of entities in the state space of an intelligent agent based on dynamic generation “on demand” are substantiated. A meta-algorithm for selecting private ontologization algorithms has been constructed depending on the selected application conditions.