G.V. Rybina1

1 National Research Nuclear University MEPhI (Moscow, Russia)

Development and experimental research of new methods and approaches for intellectualization of software design processes for intelligent systems of various architectural typologies, in particular, integrated expert systems (IES), based on the integration of models, methods and technologies of knowledge engineering, intelligent planning, ontological engineering. Creation of the AT-TECHNOLOGY workbench on the base platform, designed for automated and intelligent support of the problem-oriented methodology for building integrated IES, an intelligent software environment that reduces the intellectual load on knowledge engineers, reduces the labor intensity and cost of developing applied IES, reduces the influence of the human factor and risk of errors. In the context of the further development of intelligent technology for prototyping applied IES, the conceptual and functional capabilities of the basic components of the model of an intelligent software environment have been expanded by developing and including a new component in the technological knowledge base in the form of an applied ontology of typical IES architectures, which allows taking into account the sharing of semantically heterogeneous objects, methods, procedures, tools. A real example of the practical use for prototyping dynamic IES of the intelligent technology for developing IES software based on a problem-oriented methodology and a dynamic version of the AT-TECHNOLOGY workbench is presented.

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2. Rybina G.V. Intellektualnye sistemy: ot A do Ya. V 3-kh knigakh. Kniga 2. Intellektualnye dialogovye sistemy. Dinamicheskie intellektualnye sistemy. M.: Nauchtekhlitizdat. 2015. 163 s. (in Russian)
3. Rybina G.V. Intellektualnye sistemy: ot A do Ya. V 3-kh knigakh. Kniga 3. Problemno-spetsializiro­vannye intellektualnye sistemy. Instrumentalnye sredstva postroeniya intellektualnykh sistem. M.: Nauchtekhlitizdat. 2015. 180 s. (in Russian)
4. Rybina G.V. Teoriya i tekhnologiya postroeniya integrirovannykh ekspertnykh sistem. M.: Nauchtekhlitizdat. 2008. 482 s. (in Russian)
5. Rybina G.V., Blokhin Yu.M. Metody i programmnye sredstva intellektualnogo planirovaniya dlya postroeniya integrirovannykh ekspertnykh sistem. Iskusstvennyi intellekt i prinyatie reshenii. 2018. № 1. S. 12−28. (in Russian)
6. Rybina G.V., Slinkov A.A. The Implementation of the Ontological Approach to Control of the Processes of Designing Integrated Expert Systems Based on the Problem-Oriented Methodology. Proceedings 19th Russian Conference Artificial Intelligence (RCAI 2021). Taganrog. Russia. 11−16 October 2021. Springer Nature Switzerland AG. 2021. P. 354−364.
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