Open AccessOntology of hierarchical design of intelligent systems
Author(s) -
K.I. Kostenko,
B.E. Levitskii
Publication year - 2022
Publication title -
ontologiâ proektirovaniâ
Language(s) - English
Resource type - Journals
eISSN - 2313-1039
pISSN - 2223-9537
DOI - 10.18287/2223-9537-2022-12-1-68-81
Subject(s) - computer science , rotation formalisms in three dimensions , ontology , intelligent decision support system , flexibility (engineering) , cybernetics , representation (politics) , knowledge representation and reasoning , artificial intelligence , theoretical computer science , philosophy , statistics , geometry , mathematics , epistemology , politics , political science , law
A system of concepts used in the technology of designing and application of intelligent systems formalized models is presented. The technology is based on concepts that reflect the commonality of theoretical and empirical ideas about the structural and functional characteristics of knowledge formed in different areas involved in the study of thought processes and memory organization structures. Concept images are implemented as formalized descriptions of the basic elements of intelligent systems, divided into three separate groups: knowledge representation formalisms, multi-dimensional knowledge and memory structures, and cybernetic elements of knowledge and memory structures control. The transformation of abstract concepts from the general mathematical model of an intelligent system into descrip-tions of the entities of applied models of such systems is carried out using homomorphic extension operations. These operations are based on symbolic transformations that specify the content of general mathematical expressions. The application of unified classes of basic concepts of intelligent systems elements and their description formats provides flexibility in the development of models developed out the initial abstract model. The concepts of formalized models of intelligent systems constitute a fragment of the ontology of design management of such systems, used to model de-sign processes.