Methodological Aspects of the Application of Model Theory in Knowledge Engineering and Artificial Intelligence Full article
Source | 2022 Ural-Siberian Conference on Computational Technologies in Cognitive Science, Genomics and Biomedicine (CSGB), 7-8 July, Novosibirsk, Russia Compilation, 2022. 392 c. |
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Output data | Year: 2022, Pages: 9865602 Pages count : 1 DOI: 10.1109/csgb56354.2022.9865602 | ||
Tags | automated reasoning; knowledge representation; model theory of subject domains; ontological homomorphism; partial model; semantic modeling; situation tree | ||
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Cite:
Palchunov D.E.
Methodological Aspects of the Application of Model Theory in Knowledge Engineering and Artificial Intelligence
In compilation 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
In compilation 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
Identifiers:
Scopus: | 2-s2.0-85138470381 |
OpenAlex: | W4293812509 |