Journal "Software Engineering"
a journal on theoretical and applied science and technology
ISSN 2220-3397

Issue N3 2023 year

DOI: 10.17587/prin.14.123-136
Principles of Customization for Models of Complexly Organized Intelligent Systems
K. I. Kostenko, Associate Professor, kostenko@kubsu.ru, Kuban State University, Krasnodar, 350040, Russian Federation
Corresponding author: Konstantin I. Kostenko, Associate Professor, Kuban State University, Krasnodar, 350040, Russian Federation E-mail: kostenko@kubsu.ru
Received on December 05, 2022
Accepted on January 12, 2023

The article presents classification and formats developed by the author for descriptions of operations for expanding and detailing formal models of intelligent systems. Operations are proposed that allow automating the processes of creating such models adapted to the properties of subject areas. Model descriptions are based on the formalization of universal parameters and properties associated with intelligent systems. The basis for building various models is the universal model. It presents the concepts and properties of knowledge representation formalisms, descriptions formats of knowledge flows and processes and control elements of intelligent systems. When creating a universal model, the principles of hierarchy and plurality of descriptions are taken into account. This provides a high initial level of the de­sign process based on generalizing unified designs of the universal model. Descriptions of additional common model elements adapt the initial universal model. Such an approach allows overcoming the problem of multiple properties of intelligent systems, reflecting ideas about them that formed in different fields of knowledge. Transformations of the universal model into a model with given properties are implemented as transformations of formalized descriptions of parameters and properties. Transformations adjust the universal model, from which general and applied models of intelligent systems are constructed. Model execution algorithms allow you to create specific intelligent systems. Such systems exist as software implementations of algorithms in the digital spaces of these areas.

Keywords: intelligent system, system model, model homomorphism, model extension, model refinement, model integrity, model completeness
pp. 123–136
For citation:
Kostenko K. I. Principles of Customization for Models of Complexly Organized Intelligent Systems, Programmnaya Ingeneria, 2023, vol. 14, no. 3, pp. 123—136. DOI: 10.17587/prin.14.123-136.
References:
  1. Kostenko K. I. Core invariants of the intelligent system’s mathematical model Programmnaya Ingeneria, 2021, vol. 12, no. 3, pp. 174—188. DOI: 10.17587/prin.12.157-168 (in Russian).
  2. 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), Moscow, Russia, October 10—16, 2020, CEUR Workshops Proceedings, 2020, vol. 2648, pp. 74—84.
  3. Stanovich K. E. Rationality and the reactive mind, New York, Oxford Univ. Press, 2011, 328 p.
  4. Burgin M. Theory of Knowledge: Structures and Processes, World Scientific, 2017, 948 p.
  5. 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, New York, David McKay, 1956.
  6. Mesarovich M. D., Takahara Y. General Systems Theory: mathematical foundations, Academic Press, 1975, 322 p.
  7. Wooldridge M. Intelligent Agents, Multiagent Systems a Modern Approach to Distributed Modern Approach to Artificial Intelligence / Eds G. Weiss, The MIT Press, 1999, pp. 27—122.
  8. Kostenko K. I. Processes diagrams for knowledge synthesis based on ontologies, VIII International Conference Knowledge—Ontologу—Theory, November 8—12, 2021, Novosibirsk, 2021, pp. 132—141 (in Russian).
  9. Kostenko K. I., Levitskii B. E. Ontology of hierarchical design of intelligent systems, Ontology of designing, 2022, vol. 12, no. 1 (43), pp. 68—81. DOI: 10.18287/2223-9537-2022-12-1-68-81 (in Russian).
  10. Kostenko K. I. Memory structures and knowledge synthesis complexly organized intellegent systems, Ecological Bulletin of Research Centers of the Black Sea Economic Cooperation, 2022, vol. 19, no. 4, pp. 9—19. DOI: 10.31429/vestnik-19-4-9-19 (in Russian).
  11. Anokhin K. V. Cognitom: in search of fundamental neuroscientific theory of consciousness, Journal of higher nervous activity, 2021, vol. 71, no. 1, pp. 39—71. DOI: 10.31857/S0044467721010032 (in Russian).
  12. Fayans A. M. Looking at the formalization of the meaning from the position of a transdisciplinary approach, Ontology of designing, 2021, vol. 11, no. 3, pp. 294—308. DOI: 10.18287/2223-9537-2021-11-3-294-308 (in Russian).