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. |
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| 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 | ||
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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
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 |