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JOURNALS // Artificial Intelligence and Decision Making // Archive

Artificial Intelligence and Decision Making, 2023 Issue 3, Pages 23–35 (Mi iipr34)

Reasoning logics and automation

Intelligent Low-code platform as a rule construction environment: practices for resolving differences in understanding

Yu. I. Rogozov

Southern Federal University, Taganrog, Russia

Abstract: It is proposed to base Low-code platforms on an interdisciplinary language of spatial methodology for constructing 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, which operates with the entities of space in the form of geometric forms of rules and matter. The spatial methodology will allow formally presenting the process of self-development of the natural language of the customer's reasoning into geometric forms of the rule of elementary distinction in undertanding, and the latter into semantic executable graphical algorithms for overcoming the gap or solving problems of creating physical objects. In the language of spatial methodology, the problem of formalizing the process of overcoming the gap between the image of the target matter (consciousness) and its physical realization (matter) is solved. The need for a transition from subject to spatial methodology is substantiated. A convergent approach to the formation of its rules is proposed.

Keywords: BPM systems, Low-code platforms, user, developer, natural intelligence of space, geometric interpretation, meaning communication, contradiction, mechanism of consciousness, meaning, convergent approach, spatial methodology.

DOI: 10.14357/20718594230303



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