sustainНадежностьDependability1729-26462500-3909RAMS Journal Limited liability company10.21683/1729-26462025-25-1-46-57sustain-640Research ArticleПРИМЕНЕНИЕ ИСКУССТВЕННОГО ИНТЕЛЛЕКТА В ЗАДАЧАХ НАДЕЖНОСТИ И БЕЗОПАСНОСТИМЕНЕНИЕ ИСКУССТВЕННОГО ИНТЕЛЛЕКТА В ЗАДАЧАХ НАДЕЖНОСТИ И БЕЗОПАСНОСТИИскусственный интеллект: стратегии и методы решения сложных проблемArtificial Intelligence: strategies and methods for solving complex problemsБочковаА. А.BochkovaAlexandra A.

Бочкова Александра Александровна, студентка 2 курса факультета бизнес-информатики и управления комплексными системами,

31, Каширское ш., Москва, 115409. 

Alexandra A. Bochkova, 2-nd year student, Faculty for Business Informatics and Integrated Systems Management,

31, Kashirskoye shosse, Moscow, 115409.

aabochkova@gmail.comНИЯУ МИФИРоссияNRNU MEPhIRussian Federation2025090320252514657Copyright © Бочкова А.А., 20252025Бочкова А.А.Bochkova A.A.Данная работа распространяется под лицензией Creative Commons Attribution 4.0.This work is licensed under a Creative Commons Attribution 4.0 License.https://www.dependability.ru/jour/article/view/640

Цель – конкретизировать понятия «искусственный интеллект» и «сложная проблема», а также рассмотреть современное состояние работ в области применения искусственного интеллекта к решению сложных проблем. Методы. Использованы методы контекстного поиска, системного анализа и обобщения информации. Результаты. Сформулировано ключевое препятствие применения искусственного интеллекта к решению сложных проблем, заключающееся в отсутствии концептуального и технического решения по представлению междисциплинарных знаний в форме, доступной для обработки и синтеза методами искусственного интеллекта. Обучение ЭВМ на разных массивах данных, но без понимания процесса синтеза, с которым так легко справляется мозг человека, не позволяет искусственному интеллекту претендовать на открытие чего-то нового, принципиально неизвестного, без чего невозможно решение сложных проблем. Нужен универсальный язык, имитирующий процессы человеческого мышления. Заключение. Выполненный анализ и рекомендации позволяют взглянуть на задачу применения искусственного интеллекта к решению сложных проблем с отличной от принятой в настоящее время точки зрения, опирающейся на использование быстрых алгоритмов поиска (так называемые большие языковые модели). Создание языка-транслятора между различными областями знаний должно способствовать междисциплинарному обмену, развитию творческого мышления, появлению новых идей и генерации инновационных решений в самых разных областях деятельности человека. Развитый язык позволит решать сложные задачи, объединяя различные дисциплины.

The Aim is to specify the concepts of “artificial intelligence” and “complex problem”, as well as to examine the state of the art in the application of artificial intelligence in solving complex problems. Methods. The author used contextual search, system analysis, and generalisation of information. Results. The paper identifies the key obstacle preventing the application of artificial intelligence in solving complex problems that consists in the lack of a conceptual and technical solution to present interdisciplinary knowledge in a form that could be processed and synthesised using artificial intelligence. Computer training that uses a variety of data sets, but does not involve an understanding of the synthesis process that the human brain so easily deals with, prohibits artificial intelligence from discovering something new, fundamentally unknown, which is imperative for solving complex problems. A common language is required that would simulate the processes of human thinking. Conclusion. The analysis and recommendations presented in this paper allow looking at the problem of artificial intelligence application as part of solving complex problems from a point of view that is different from the currently common focus on the use of fast search algorithms (the so-called large language models). The creation of a translator language between different fields of knowledge should contribute to an interdisciplinary exchange, the development of creative thinking, the emergence of new ideas and innovative solutions in various fields of human activity. An elaborate language will allow solving complex problems by combining various disciplines.

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The authors declare that there are no conflicts of interest present.