Intelligent Low-Code Platform As a Rule Construction Environment: Practices for Resolving Differences in Understanding

It is proposed to base low-code platforms on an interdisciplinary language of spatial methodology for the construction of the semantic graphic forms of rules. A convergent approach is proposed for the convergence of the properties of the “intelligence of space” into the rules of a spatial methodology that operates with entities of space in the form of geometric forms of rules and matter. This spatial methodology will make it possible to formally represent the process of self-development of the natural language of the customer’s reasoning into geometric forms of the rule of elementary distinction in understanding and the latter, into semantic executable graphical algorithms for bridging the gap or solving problems of creating physical objects. The language of spatial methodology is used to solve the problem of formalizing the process of bridging the gap between the image of target matter (consciousness) and its physical implementation (matter). The need to transit from subject to spatial methodology is substantiated. A convergent approach to the formation of its rules is proposed.

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Publication Details

Journal
Scientific and Technical Information Processing
Published
2024-12-01
DOI
https://doi.org/10.3103/s014768822470028x
Citations
3
Primary Topic
AI in Service Interactions
Type
article
Field-Weighted Citation Impact
1.04
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article

Intelligent Low-Code Platform As a Rule Construction Environment: Practices for Resolving Differences in Understanding

Yuri Rogozov
3 citations
Scientific and Technical Information Processing
AI in Service Interactions
1.04
article

Intelligent Low-Code Platform As a Rule Construction Environment: Practices for Resolving Differences in Understanding

Yuri Rogozov
article en
3 citations

Abstract

It is proposed to base low-code platforms on an interdisciplinary language of spatial methodology for the construction of the semantic graphic forms of rules. A convergent approach is proposed for the convergence of the properties of the “intelligence of space” into the rules of a spatial methodology that operates with entities of space in the form of geometric forms of rules and matter. This spatial methodology will make it possible to formally represent the process of self-development of the natural language of the customer’s reasoning into geometric forms of the rule of elementary distinction in understanding and the latter, into semantic executable graphical algorithms for bridging the gap or solving problems of creating physical objects. The language of spatial methodology is used to solve the problem of formalizing the process of bridging the gap between the image of target matter (consciousness) and its physical implementation (matter). The need to transit from subject to spatial methodology is substantiated. A convergent approach to the formation of its rules is proposed.

Scientific and Technical Information ProcessingVol. 51(5)
Southern Federal University (RU)
Sustainable cities and communities
Openalex Percentile: Top 18%
AI in Service Interactions
1.04
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