Object-Oriented Modeling of Matching to Systemic Classifiers

Authors

  • Sedrak V. Grigoryan Institute for Informatics and Automation Problems of NAS RA
  • Nairi P. Hakobyan Institute for Informatics and Automation Problems of NAS RA
  • Hovhannes S. Vrtanesyan Institute for Informatics and Automation Problems of NAS RA

DOI:

https://doi.org/10.51408/1963-0015

Keywords:

Modelling, Systemic classifiers, Mental, Matching, Chess

Abstract

In this paper we present a version of object-oriented implementation of models of constructive regularized mental systems, mentals, and systemic classifiers introduced in [1] as well as algorithms for matching them to situations. We experiment the adequacy of the models and algorithms for the chess representing kernels of the class of combinatorial problems, where space of solutions can be represented by Reproducible Game Trees (RGT).

References

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K. Khachatryan and S. Grigoryan, “Java programs for presentation and acquisition of meanings in SSRGT games”, Proceedings of SEUA Annual conference, Yerevan, Armenia, pp. 127-135, 2013.

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S. Grigoryan, “Dynamic Knowledge Integration into HBD Knowledge”, International Conference in Computer Sciences and Information Technologies, Yerevan, Armenia, pp. 3, 2017.

K. Khachatryan and S. Grigoryan, “Java programs for matching situations to the meanings of SSRGT games”,Proceedings of SEUA Annual conference, Yerevan, Armenia, pp. 135-141, 2013.

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Published

2021-12-10

How to Cite

Grigoryan, S. V., Hakobyan, N. P., & Vrtanesyan, H. S. (2021). Object-Oriented Modeling of Matching to Systemic Classifiers. Mathematical Problems of Computer Science, 49, 115–122. https://doi.org/10.51408/1963-0015