Индустрия 6.0: сущность, тенденции и стратегические возможности для России

В статье представлены результаты систематического исследования Индустрии 6.0, которая представляет собой будущий этап промышленного развития, характеризующий интеллектуально-технологической иммерсивной гиперсвязанностью и физико-когнитивно-эмоциональным слиянием виртуальных (превосходящих цифровые) двойников человека и машин. Проведен литературный обзорный синтез суще- ствующих определений Индустрии 6.0, предложено авторское определение и концепт, систематизированы ключевые технологии по шести исследовательским проекциям: интеллектуальная автоматизация, устойчивое развитие, человеко-машинное взаимодействие, информационные технологии и кибербезопасность, машинное обучение, управление человеческими ресурсами. Особое внимание уделено отличительным характеристикам Индустрии 6.0 по сравнению с Индустриями 4.0 и 5.0. В Индустрии 6.0 происходит вездесущное слияние виртуальных двойников человека и машин, что позволяет реализовывать ультраперсонализированное производство и создавать эмоционально-интеллектуальные экосистемы, в том числе с  помощью квантовых технологий. Обсуждаются возможности реализации Индустрии 6.0 в России на основе национальных стратегий по экономике данных, технологическому суверенитету и  программе «Технет» Национальной технологической инициативы. Ограничения исследования связаны с футуристическим характером концепции Индустрии 6.0, отсутствием достаточной эмпирической базы и ограниченным количеством актуальных научных публикаций. Направления дальнейших исследований могут включать разработку практических моделей для интеграции интеллектуальных экосистем Индустрии 6.0 в российские производственные и технологические секторы. Особое внимание следует уделить разработке методик оценки экономического и социально-го эффекта от внедрения ключевых технологий, таких как мультиагентные системы, квантовые вычисления и эмоциональный интеллект машин, а также исследованию путей их адаптации в рамках национальных стратегий технологического суверенитета и экономики данных.

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