The knowledge synthesis in memory structures complexly organized intelligent systems

Authors

UDC

004.82

DOI:

https://doi.org/10.31429/vestnik-19-4-9-19

Abstract

Cybernetic principles considered as the basis for the development of intelligent systems' formal models. These principles implementation founded on mathematical descriptions for general properties of knowledge formalisms, intelligent system architecture and intelligent systems control. Descriptions make up the basic model, the extensions and refinements of which form the structure of models at different levels. General memory structures modeled as infinite saturated binary trees, divided into subareas used as knowledge operation domains. Combinations of subareas direct sums and direct products represent memory structures within models descriptions. Considered knowledge operation domains set allow describing its elements by regular expressions. The topological structure of memory areas introduced for regular memory areas. The schemes of topology operations applications for knowledge synthesis processes are given.

Keywords:

intelligent system memory, regular memory area, memory areas topology, knowledge representation, knowledge synthesis, knowledge domains

Acknowledgement

The work was supported by the Russian Foundation for Basic Research and the administration of the Krasnodar Territory (project no. 19-41-230008) and with the support of the Russian Foundation for Basic Research (project no. 20-01-00289).

Author Info

Konstantin I. Kostenko

assistant professor of department of mathematical modelling of Kuban State University

e-mail: kostenko@kubsu.ru

References

  1. Bloom, B.S., Engelhart, M.D., Furst, E.J., Hill, W.H., Krathwohl, D.R., Taxonomy of educational objectives: The classification taxonomy of educational goals. Handbook 1: Cognitive domain. David McKay, New York, 1956.
  2. Stanovich, K.E., Rationality and the reactive mind. Oxford Univ. Press, 2010.
  3. Burgin, M., Theory of knowledge: structures and processes. World Scientific Series in Information Studies, Vol. 5, 2017. DOI 10.1142/8893
  4. Костенко, К.И., Инварианты ядра фундаментальной модели интеллектуальной системы. Программная инженерия, 2021, т. 12, № 3, с. 157–168. [Kostenko, K.I., Invariants of the core of the fundamental model of an intelligent system. Programmnaya inzheneriya = Software Engineering, 2021, vol. 12, no. 3, pp. 157–168. (in Russian)] DOI 10.17587/prin.12.157-168
  5. Kostenko, K., Knowledge flows processes at multidimensional intelligent systems. Russian Advances in Artificial Intelligence: selected contributions to the Russian Conference on Artificial intelligence (RCAI 2020), October 10–16, 2020, Moscow, Russia, vol. 2648, pp. 74–84. URL: http://ceur-ws.org/Vol-2648/paper6.pdf
  6. Костенко, К.И., Операции когнитивного синтеза формализованных знаний. Программная инженерия, 2018, т. 9, № 4, с. 174–184. [Kostenko, K.I., Operations of cognitive synthesis of formalized knowledge. Programmnaya inzheneriya = Software Engineering, 2018, vol. 9, no. 4, pp. 174–184. (in Russian)] DOI 10.17587/prin.9.174-184
  7. Wooldridge, M., Intelligent Agents. In Weiss G. (ed.), Multiagent Systems (A Modern Approach to Distributed Modern Approach to Artificial Intelligence). The MIT Press, 1999, pp. 27–122.
  8. Mesarovic, M., Takahara, Y., General Systems Theory: Mathematical Foundations (Mathematics in Science and Engineering). Elsevier, 1975.
  9. Анохин, К.В., Когнитом: в поисках фундаментальной нейронаучной теории сознания. Журнал высшей нервной деятельности им. И.П. Павлова, 2021, т. 71, № 1, с. 39–71. [Anokhin, K.V., Cognit: in search of a fundamental neuroscientific theory of consciousness. Zhurnal vysshey nervnoy deyatel'nosti im. I.P. Pavlova = I.P. Pavlov's Journal of Higher Nervous Activity, 2021, vol. 71, no. 1, pp. 39–71. (in Russian)] DOI 10.31857/S0044467721010032
  10. Костенко, К.И., Диаграммы процессов и правила синтеза знаний из элементов онтологий. VIII Международная научная конференция "Знания-Онтологии-Теории", Новосибирск, 8-12 ноября 2021, с. 131–140. [Kostenko, K.I., Process diagrams and knowledge synthesis rules from ontology elements. VIII Mezhdunarodnaya nauchnaya konferentsiya "Znaniya-Ontologii-Teorii" = VIII International Scientific Conference "Knowledge-Ontology-Theory", Novosibirsk, November 8-12, 2021, pp. 131–140. (in Russian)]

Issue

Section

Mathematics

Pages

9-19

Submitted

2022-11-22

Published

2022-11-30

How to Cite

Kostenko K.I. The knowledge synthesis in memory structures complexly organized intelligent systems. Ecological Bulletin of Research Centers of the Black Sea Economic Cooperation, 2022, vol. 19, no. 4, pp. 9-19. DOI: https://doi.org/10.31429/vestnik-19-4-9-19 (In Russian)