Журнал «Современная Наука»

Russian (CIS)English (United Kingdom)
MOSCOW +7(495)-142-86-81

Predictive significance of self-attitude in the modeling of artificial intelligence

Vislova Aminat Danyalovna  (Doctor of Рsychological Sciences, Leading Researcher of the Federal Research center of the Kabardino-Balkarian scientific center of the Russian academy of sciences (Nalchik))

The article analyzes the features of the development of artificial intelligence (AI) in the context of post-nonclassical science. AI is seen as an area of interdisciplinary research. Interdisciplinarity in the context of the problems under consideration is understood as a methodological tool for the theoretical and categorical design of the corpus of scientific disciplines included in the study of artificial intelligence. An attempt was made to comprehend the methodological problems of the interdisciplinary study of AI. The advantages of AI work carried out at the “junction” of scientific disciplines are summarized.

Keywords:artificial intelligence, psychology, post-nonclassical science, interdisciplinary approach, integration, synthesis, synergetics.

 

Read the full article …



Citation link:
Vislova A. D. Predictive significance of self-attitude in the modeling of artificial intelligence // Современная наука: актуальные проблемы теории и практики. Серия: Познание. -2021. -№04. -С. 84-88 DOI 10.37882/2500-3682.2021.04.08
LEGAL INFORMATION:
Reproduction of materials is permitted only for non-commercial purposes with reference to the original publication. Protected by the laws of the Russian Federation. Any violations of the law are prosecuted.
© ООО "Научные технологии"