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Methodological Aspects of the Application of Model Theory in Knowledge Engineering and Artificial Intelligence Научная публикация

Сборник 2022 Ural-Siberian Conference on Computational Technologies in Cognitive Science, Genomics and Biomedicine (CSGB), 7-8 July, Novosibirsk, Russia
Сборник, 2022. 392 c.
Вых. Данные Год: 2022, Страницы: 9865602 Страниц : 1 DOI: 10.1109/csgb56354.2022.9865602
Ключевые слова automated reasoning; knowledge representation; model theory of subject domains; ontological homomorphism; partial model; semantic modeling; situation tree
Авторы Palchunov Dmitry E. 1
Организации
1 Laboratory of Computability Theory and Applied Logic Sobolev Institute of Mathematics, Novosibirsk, Russia
Библиографическая ссылка: Palchunov D.E.
Methodological Aspects of the Application of Model Theory in Knowledge Engineering and Artificial Intelligence
В сборнике 2022 Ural-Siberian Conference on Computational Technologies in Cognitive Science, Genomics and Biomedicine (CSGB), 7-8 July, Novosibirsk, Russia. 2022. – C.9865602. DOI: 10.1109/csgb56354.2022.9865602 Scopus OpenAlex
Идентификаторы БД:
Scopus: 2-s2.0-85138470381
OpenAlex: W4293812509
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БД Цитирований
Scopus 3
OpenAlex 3
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