Artificial Intelligence and Decision Making
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Artificial Intelligence and Decision Making, 2021, Issue 3, Pages 33–44
DOI: https://doi.org/10.14357/20718594210303
(Mi iipr107)
 

Knowledge representation

System-object approach to organizational knowledge modeling taking into account system-wide patterns

A. G. Zhikharev

Belgorod Shukhov State Technological University, Belgorod, Russia
Abstract: The paper describes ways of taking into account system-wide principles and patterns in the construction of system-object models of organizational knowledge. The modification of the original formal apparatus of calculating systems as functional objects is proposed. The application of the results obtained will allow, in the future, to automate and improve the procedures of system-object modeling in the design of complex organizational and information systems in order to increase the efficiency of systems management.
Keywords: general system laws, system-object model, organizational knowledge, calculus of systems as functional objects.
Funding agency Grant number
Russian Foundation for Basic Research 19-07-00111
19-07-00290
English version:
Scientific and Technical Information Processing, 2022, Volume 49, Issue 6, Pages 497–505
DOI: https://doi.org/10.3103/S0147688222060120
Bibliographic databases:
Document Type: Article
Language: Russian
Citation: A. G. Zhikharev, “System-object approach to organizational knowledge modeling taking into account system-wide patterns”, Artificial Intelligence and Decision Making, 2021, no. 3, 33–44; Scientific and Technical Information Processing, 49:6 (2022), 497–505
Citation in format AMSBIB
\Bibitem{Zhi21}
\by A.~G.~Zhikharev
\paper System-object approach to organizational knowledge modeling taking into account system-wide patterns
\jour Artificial Intelligence and Decision Making
\yr 2021
\issue 3
\pages 33--44
\mathnet{http://mi.mathnet.ru/iipr107}
\crossref{https://doi.org/10.14357/20718594210303}
\elib{https://elibrary.ru/item.asp?id=46701360}
\transl
\jour Scientific and Technical Information Processing
\yr 2022
\vol 49
\issue 6
\pages 497--505
\crossref{https://doi.org/10.3103/S0147688222060120}
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  • https://www.mathnet.ru/eng/iipr/y2021/i3/p33
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