Collective Distances for Clustering N-Valued Logic Formulas Representing Knowledge Base of Intellectual System | Sciact - Система учета научной деятельности ИМ СО РАН

Collective Distances for Clustering N-Valued Logic Formulas Representing Knowledge Base of Intellectual System Научная публикация

Сборник

SIBIRCON 2019 - International Multi-Conference on Engineering, Computer and Information Sciences, Proceedings
Сборник, 2019. ISBN 978-172814401-6.

Вых. Данные

Год: 2019, Страницы: 0664-0669 Страниц : 6 DOI: 10.1109/SIBIRCON48586.2019.8958153

Ключевые слова

clustering; intellectual system; logical statements; n-valued logic

Авторы

Vikent'ev Alexander ¹ , Serov Michail ² , Vikentiev Ruslan ² , Berikov Vladimir ¹

Организации

1	Sobolev Institute of mathematics SB RAS
2	Novosibirsk State University

The paper considers a problem of the analysis of logical expert statements that arises at the interfaces between artificial intelligence, machine learning and mathematical logic. Within the framework of the logic-based modelling in knowledge representation, the propositions stored in the knowledge base of an intellectual system are described using formulas of some logic. The paper investigates the properties of metrics and measures of non-triviality on the formulas of $n$-valued logic; the notion of collective metrics is proposed. The introduced concepts are used for cluster analysis of logical statements; examples of the obtained solutions are described.

Vikent'ev A. , Serov M. , Vikentiev R. , Berikov V.
Collective Distances for Clustering N-Valued Logic Formulas Representing Knowledge Base of Intellectual System
В сборнике SIBIRCON 2019 - International Multi-Conference on Engineering, Computer and Information Sciences, Proceedings. 2019. – C.0664-0669. – ISBN 978-172814401-6. DOI: 10.1109/SIBIRCON48586.2019.8958153 Scopus OpenAlex

Scopus:	2-s2.0-85079063673
OpenAlex:	W2999879046

БД	Цитирований
OpenAlex	1