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Reasoning logics and automation
Intelligent Low-code platform as an environment for constructing rules: spatial methodology for constructing meaningful graphical algorithms
Yu. I. Rogozov Southern Federal University, Rostov-on-Don
Abstract:
In the first part of the article, the necessity of transition from subject to spatial methodology is substantiated, a convergent approach is proposed for convergence of the properties of the “intelligence of space” into its rules. In this article, with the help of a convergent approach, the convergence of the manifested properties of the “intelligence of space” (gravitation, mutual influences of the geometry of space and matter, emergence, etc.) into the rules of spatial methodology is carried out. The existing essences of geometric forms of the rules of elementary distinction and the rules of their selfdevelopment are considered. The initial essence of the geometric form of the rule of artificial preparation of the emergence effect and the process of its materialization into the original semantic essence of the graphical algorithm for the implementation of an elementary action are proposed. The process of self-development of the initial essence of the graphical algorithm of elementary action into a meaningful graphical algorithm for overcoming the gap or solving problems is shown. In the process of implementing the algorithm, the meaning will be transferred to the target matter.
Keywords:
intelligence of space, geometric interpretation, meaning communication, contradiction, distinctions, mechanism of consciousness, meaning, implementation of action, emergence, convergence, graphical algorithm.
Citation:
Yu. I. Rogozov, “Intelligent Low-code platform as an environment for constructing rules: spatial methodology for constructing meaningful graphical algorithms”, Artificial Intelligence and Decision Making, 2023, no. 4, 16–28
Linking options:
https://www.mathnet.ru/eng/iipr44 https://www.mathnet.ru/eng/iipr/y2023/i4/p16
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Abstract page: | 27 | First page: | 2 |
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