Abstract
The paper presents an analysis of the main approaches to creating artificial intelligence systems—an approach based on knowledge and data. The main advantages and limitations of each approach are highlighted. It is noted that, despite the great popularity of the data-driven approach, researchers pay insufficient attention to the creation of methods and approaches for working with small data. The important role of expert knowledge for the creation of intelligent systems is noted. The paper argues that it is the integration of the two approaches that is promising for the successful solution of a wide range of intelligent problems and will allow solving the problems of explainability for different levels of end users of intelligent systems.
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Valeria V. Gribova. Graduated from the Leningrad Polytechnic Institute with a degree in applied mathematics, Doctor of Engineering Sciences (2008). Corresponding Member of the RAS (2022). Deputy Director for Research, Scientific Director of the Laboratory of Intelligent Systems. Vice-President of the Council of the Russian Association of Artificial Intelligence. Scientific interests: ontologies and knowledge bases, applied and problem-oriented knowledge-based systems, knowledge base management. The list of scientific works includes more than 350 works.
Boris A. Kobrinskii. Head of the Department of Intelligent Decision Support Systems of the Federal Research Center “Computer Science and Control” of the Russian Academy of Sciences, Doctor of Science, Professor, Honored Scientist of the Russian Federation. Professor of the Department of Medical Cybernetics and Informatics at the Pirogov Russian National Research Medical University, codirector of the master’s program “Intelligent Technologies in Medicine” at the Faculty of Computational Mathematics and Cybernetics of the Moscow State University. Chairman of the Scientific Council of the Russian Association of Artificial Intelligence.
The concept of imagery engineering, the paradigm for creating logical-linguistic intelligent systems, and the concept of knowledge-driven information systems have been formulated in the field of artificial intelligence; a modified version of Shortliff’s expert confidence factors has been proposed, and more than 30 intelligent decision support systems have been created in the field of medicine. The list of scientific works contains more than 500 publications, including ten monographs and three textbooks.
Translated by L. Solovyova
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Gribova, V.V., Kobrinskii, B.A. Knowledge and Data in Artificial Intelligence Systems. Pattern Recognit. Image Anal. 34, 429–433 (2024). https://doi.org/10.1134/S1054661824700160
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DOI: https://doi.org/10.1134/S1054661824700160