Intelligent Low-Code Platform As a Rule Construction Environment: A Spatial Methodology for Constructing Semantic Graphical Algorithms

In the first part of the article, the need to transition from subject to spatial methodology is substantiated, and a convergent approach for the convergence of the properties of the intelligence of space into its rules is proposed. In this article, the convergent approach is used to converge the manifested properties of the intelligence of space (gravitation, mutual influence of the geometry of space and matter, emergence, etc.) in the rules of spatial methodology. The existing entities of the geometric forms of rules of elementary distinction and the rules of their self-development are considered. The initial entity of the geometric form of the rule of the artificial preparation of the emergence effect and the process of its materialization in the initial semantic entity of the graphical algorithm of the implementation of an elementary action are proposed. The process of self-development of the initial entity of the graphical algorithm of the elementary action into the semantic graphical algorithm for bridging the gap or solving problems is shown. In the process of implementing the algorithm, the meaning will be transferred to the target matter.

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Publication Details

Journal
Scientific and Technical Information Processing
Published
2024-12-01
DOI
https://doi.org/10.3103/s0147688224700291
Citations
2
Primary Topic
Model-Driven Software Engineering Techniques
Type
article
Field-Weighted Citation Impact
0.97
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article

Intelligent Low-Code Platform As a Rule Construction Environment: A Spatial Methodology for Constructing Semantic Graphical Algorithms

Yuri Rogozov
2 citations
Scientific and Technical Information Processing
Model-Driven Software Engineering Techniques
0.97
article

Intelligent Low-Code Platform As a Rule Construction Environment: A Spatial Methodology for Constructing Semantic Graphical Algorithms

Yuri Rogozov
article en
2 citations

Abstract

In the first part of the article, the need to transition from subject to spatial methodology is substantiated, and a convergent approach for the convergence of the properties of the intelligence of space into its rules is proposed. In this article, the convergent approach is used to converge the manifested properties of the intelligence of space (gravitation, mutual influence of the geometry of space and matter, emergence, etc.) in the rules of spatial methodology. The existing entities of the geometric forms of rules of elementary distinction and the rules of their self-development are considered. The initial entity of the geometric form of the rule of the artificial preparation of the emergence effect and the process of its materialization in the initial semantic entity of the graphical algorithm of the implementation of an elementary action are proposed. The process of self-development of the initial entity of the graphical algorithm of the elementary action into the semantic graphical algorithm for bridging the gap or solving problems is shown. In the process of implementing the algorithm, the meaning will be transferred to the target matter.

Scientific and Technical Information ProcessingVol. 51(5)
Southern Federal University (RU)
Sustainable cities and communities
Openalex Percentile: Top 19%
Model-Driven Software Engineering Techniques
0.97
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