Аннотация
В статье предлагаются новые эпистемологические и методологические подходы к анализу нелинейной динамики систем устойчивости. Особое внимание уделяется адаптивной устойчивости и топологическим моделям при изучении четырех взаимосвязанных систем локальной стабильности. Разработаны индикаторы для оценки этапов эволюционных изменений и мер стратегического реагирования при анализе адаптивной устойчивости и стабильности. В модели подрывного роста подчеркивается значимость событий-джокеров и слабых сигналов как инструментов поиска новых ответов на внешние шоки. Проведенный анализ способствует выработке механизмов поддержания локальной стабильности и функциональности при подрывных изменениях. Модель устойчивого подрывного роста направлена на обеспечение адаптивной устойчивости и локальной стабильности с учетом существующих ограничений. Выделены аналитические аспекты мониторинга и передачи информации в реальном времени, что открывает перспективы применения искусственного интеллекта (ИИ), машинного обучения, объяснимого ИИ и значимых для рынков труда показателей связанности, рассмотренных во введении.
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