A Combinative Approach to Generalization of Meanings

Authors

  • Karen S. Khachatryan State Engineering University of Armenia

Keywords:

meanings, meaning processing, combinative generalization

Abstract

We gain new meanings through the acquisition of communities, the revelation from experience and the creation of new meanings by combining the existing ones. We refine meanings by abstract classes combined by be-, have-, do- categories of relationships [1, 3, 7]. In the paper we present a novel combinative algorithm constructing new meanings by generalization of the given sets of meanings.

References

E. Pogossian, “On modeling cognition”. Computer Science and Information Technologies(CSIT11), Yerevan, pp 194-198, 2011.

M. Chein and M.-L. Mugnier, Graph-based Knowledge Representation and Reasoning: Computational Foundations of Conceptual Graphs. Advanced Information and Knowledge Processing Series, Springer London, 2009.

K. Khachatryan and S. Grigoryan. “Java programs for presentation and acquisition of meanings In SSRGT games”, Proceedings of SEUA Annual conference, Yerevan, 7p, 2013.

M. A. Ghodrat, “Expression equivalence checking using interval analysis”, Very Large Scale Integration (VLSI) Systems, IEEE Transactions, vol. 14, no. 8, pp. 830-842, 2006.

K. Khachatryan and S. Grigoryan. “Java programs for matching situations to the meanings of SSRGT games”, Proceedings of SEUA Annual conference, Yerevan, 5p, 2013.

Искусственный интеллект. - В 3-х кн. Кн. 2. Модели и методы: Спровочник/Под ред. Д. А. Поспелова - М. Радио и связь, 1990.

E. Pogossian, “Modeling of meaning processing аnd its applications in competition and combating games”, Proceedings of SEUA Annual conference, Yerevan 12p, 2013.

N. Dershowitz, Rewrite Systems, Handbook of Theoretical Computer Science, Elsevier Science Publishers, 1990.

P. J. Downey, R. Sethi, and R. E. Tarjan, “Variations on the common subexpression problem”, Journal of the ACM, vol. 27 no. 4, pp. 758–771, 1980.

R. E. Moore, Interval analysis, Prentice-Hall, Englewood Cliffs, N. J., 1966.

M. Chein and M.-L. Mugnier, “Conceptual graphs: Fundamental notions”, Revue d’Intelligence Artificielle, vol. 6 no. 4, pp 365–406, 1992.

J. Sowa and E. C.Way, “Inplementing a semantic interpreter using conceptual graphs”, IBM Journal of Research and Development, vol. 30, no. 1, pp 57–69, 1986.

Ю. И. Журавлев, Об алгевраическом подходе к решению задач распознавания и классификации. Проблемы кибернетики. Наука, Вып. 33. С. 5-68, 1978.

Ю. И. Журавлев, “Корректные алгебры над множествами некорректных (эвристических) алгоритмов”, Кибернетика, N. 2, с. 35-43, 1978.

Д. А. Поспелов, Ситуационное управление: теория и практика , Наука, 1986.

М. А. Айзерман, Э. М. Браверман, Л. И. Розоноер, Метод потенциальных функций в теории обучения машин , Наука, 1970.

Р. Харалик, “Структурное распознавание образов: гомоморфизмы и размещения”, Кибернетический сборник, Пер. с англ. N 19, с. 170-199, 1982.

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Published

2021-12-10

How to Cite

Khachatryan, K. S. (2021). A Combinative Approach to Generalization of Meanings. Mathematical Problems of Computer Science, 39, 54–65. Retrieved from http://93.187.165.2/index.php/mpcs/article/view/384