Issue |
E3S Web of Conf.
Volume 389, 2023
Ural Environmental Science Forum “Sustainable Development of Industrial Region” (UESF-2023)
|
|
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Article Number | 07001 | |
Number of page(s) | 7 | |
Section | IT in Environmental Science | |
DOI | https://doi.org/10.1051/e3sconf/202338907001 | |
Published online | 31 May 2023 |
An approach to creating a thinking process in systems empowered with intelligence using 3D environments
1 University under the EURASEC Inter-Parlamentary Assembly, 14/1, Smolyachkova str., 194044 St. Petersburg, Russia
2 Baltic State Technical University “Voenmeh” D.F. Ustinov, 1-st, 1, Krasnoarmeyskaya str., 190005 St. Petersburg, Russia
3 Zhangir Khan West Kazakhstan Agrarian-Technical University, 51, Zhangir khan str., 090009 Uralsk, Kazakhstan
* Corresponding author: bapiev@mail.ru
The study is aimed at solving the problem of thinking and the sources of building thought processes in systems empowered with intelligence as one of the fundamental steps to the creation of artificial intelligence. Artificial intelligence performs creative functions traditionally considered human prerogative, using computer programs to understand human intelligence and not being limited to biologically plausible methods. In this regard the evolution of a traditional computer program into a system capable of self-creation is being implemented, depending on the conditions of the external and internal events and processes. The article authors present a number of intermediate results of the research in the field of advanced technologies and artificial intelligence achieved on the basis of experiments run on the study of the semantic structures construction – sources aimed at shaping a thinking process in systems empowered with intelligence. The research carried out by the authors of the article contributes to building of basic algorithms as a parametrically polymorphic system. Scheme of one of the main functions of the master algorithm is presented. An array of constructions, semantically related and called by a route determined by a vector, the direction of which is aimed at minimal costs winning, which together act as the fundamental method for creating a master algorithm.
Key words: Artificial intelligence / 3D modeling / Machine learning / Deep learning / Genetic programming
© The Authors, published by EDP Sciences, 2023
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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