ISJ Theoretical & Applied Science



Information about the scientific journal

Submit an article to the journal

Requirements to the article



Journal archive

Tracing of postal items


Editorial Board       p-ISSN 2308-4944 (print)       e-ISSN 2409-0085 (online)
SOI: 1.1/TAS         DOI: 10.15863/TAS

Journal Archive

ISJ Theoretical & Applied Science 09(125) 2023

Philadelphia, USA

* Scientific Article * Impact Factor 6.630

Zhanatauov, S. U.

Cognitive model: corruption.

Full Article: PDF

Scientific Object Identifier:


Language: Russian

Citation: Zhanatauov, S. U. (2023). Cognitive model: corruption. ISJ Theoretical & Applied Science, 09 (125), 332-355. Soi: Doi:

Pages: 332-355

Published: 30.09.2023

Abstract: Zharov S.N. [1] for the first time conducted a scientific analysis (from a legal point of view) of a little-known publication proposed by I.P. Liprandi [2] on a number of special types of corruption. The article develops a Cognitive model of the phenomenon of “corruption” in 2 versions, differing in sets of meanings of factors and their quantities. In each version, a system of semantic equations has been developed, each system consists of 3 semantic equations. One semantic equation has 4 known z-sense (semantic z-variables) variables and 1 unknown y-sense (semantic y-variable) variable. The system of semantic equations has 12 parameters that are extracted from the model matrices C55, C99; the matrices C55, C99 are modeled when solving Optimization Problems: (I55, I55) =>(?55, C55), (I99, I99) =>(?99, C99). Due to the discrepancy between the number of z-variables and the number of y-variables: 4(5, 4(9, there was a need for cognitive modeling of semantic equality meaning(ZZm4)=meaning(YYm3CCТ34) instead of equality meaning(ZZm5)=meaning(YYm5CCТ55). An algorithm has been developed for calculating the values of 4 zz-variables (instead of z-variables), depending on 24 values of 3 y-variables y2,y3,y4 (which have values of their variances close to 0). Random values of 3 y-variables y2,y3,y4 are modeled separately and independently of other model matrices. Constructing new meanings of y-factors of the phenomenon of “corruption” with the 1st option of the composition of corruption factors (4 zz-factors (for the “bottom”) and 5 y-factors (for the “top”) and construction with the 2nd option of the composition of corruption factors (4 zz-factors (for the “bottom”) and 9 y-factors (for the “tops”) made it possible to clarify situations of corruption, to understand new additional factors of corruption ((extract knowledge)). Visualization of the mutual dynamics of corruption factors showed the sameness of the model results of 2 variants of the corruption model. In terms of meanings and mutual dynamics of their values, the factors quantitatively reflect real situations of the phenomenon of corruption.

Key words: multisense equation with known and unknown semantic variables, Cognitive Model of the Phenomenon “Corruption”.








© «Theoretical &Applied Science»                      2013 г.