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Integrated, predicative human-system interface of artificial intelligence

Astakhov Maxim Igorevich  (Leading Programmer, D.F. Ustinov Baltic State Technical University "VOENMEH")

Petrova Kristina Igorevna  (Engineer, D.F. Ustinov Baltic State Technical University "VOENMEH")

Trotsky Andrey Igorevich  (D.F. Ustinov Baltic State Technical University "VOENMEH")

Skulyabina Olga Vladimirovna  (Candidate of Technical Sciences, Associate Professor, D.F. Ustinov Baltic State Technical University "VOENMEH")

The research is aimed at studying the issues and problems of designing a unified, predicative interface that ensures the interaction of an intelligent system and its understanding with the localization environment, regardless of the object or phenomenon that is the source of the system's response. In the article, the authors present intermediate conclusions obtained as a result of studies conducted in the design of architecture, combining the types of receptor interfaces responsible for the interaction of biological, physical objects and processes that change their state or localization environments during the period of existence (note: presence "on the line") those acting as effectors of events relative to the intelligent system, providing: a. obtaining, synthesizing, aggregating and "sequencing" data; b. based on the principle of semantic connection, structuring the experience of the system. This research contributes to the development of a hardware-software topological basis, the master algorithm of an intelligent system.

Keywords:Intelligent system, dynamic systems and algorithms, interfaces, intelligent interface, "entry points", artificial intelligence, "genome" of artificial intelligence, microarchitecture, artificial intelligence, AI.
 

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Citation link:
Astakhov M. I., Petrova K. I., Trotsky A. I., Skulyabina O. V. Integrated, predicative human-system interface of artificial intelligence // Современная наука: актуальные проблемы теории и практики. Серия: Естественные и Технические Науки. -2022. -№06. -С. 65-70 DOI 10.37882/2223-2966.2022.06.05
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