DC Field | Value | Language |
dc.contributor.author | Ivashenko, V. | - |
dc.contributor.author | Zotov, N. | - |
dc.contributor.author | Orlov, M. | - |
dc.contributor.author | Ивашенко, В. П. | - |
dc.contributor.author | Зотов, Н. В. | - |
dc.contributor.author | Орлов, М. К. | - |
dc.date.accessioned | 2021-11-04T10:59:36Z | - |
dc.date.available | 2021-11-04T10:59:36Z | - |
dc.date.issued | 2021 | - |
dc.identifier.citation | Ivashenko, V. Semantic Logging of Repeating Events in a Forward Branching Time Model / Ivashenko V., Zotov N., Orlov M. // Pattern Recognition and Information Processing (PRIP'2021) = Распознавание образов и обработка информации (2021) : Proceedings of the 15th International Conference, 21–24 Sept. 2021, Minsk, Belarus / United Institute of Informatics Problems of the National Academy of Sciences of Belarus. – Minsk, 2021. – P. 149–152. | ru_RU |
dc.identifier.uri | https://libeldoc.bsuir.by/handle/123456789/45802 | - |
dc.description.abstract | The tasks of knowledge logging in the form of semantic networks of the model of the unified semantic knowledge representation are considered. The formal model of a semantic log of repeating events in knowledge processing and algorithms for adding and retrieving logged events from the log are presented. The spatial-time structure of logged processes should satisfy a forward branching time model. | ru_RU |
dc.language.iso | en | ru_RU |
dc.publisher | UIIP NASB | ru_RU |
dc.subject | материалы конференций | ru_RU |
dc.subject | conference proceedings | ru_RU |
dc.subject | semantic logging | ru_RU |
dc.subject | repeated events | ru_RU |
dc.subject | semantic networks | ru_RU |
dc.subject | branching time | ru_RU |
dc.subject | full persistence | ru_RU |
dc.subject | cognitive architecture | ru_RU |
dc.title | Semantic Logging of Repeating Events in a Forward Branching Time Model | ru_RU |
dc.type | Статья | ru_RU |
Appears in Collections: | Pattern Recognition and Information Processing (PRIP'2021) = Распознавание образов и обработка информации (2021)
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