Keywords
Abstract
Современные методы искусственного интеллекта (ИИ) и количественного анализа становятся важными инструментами в исторических исследованиях. В данной статье рассматриваются три ключевых направления применения ИИ в истории: распознавание и анализ рукописей, автоматический анализ текстов и реконструкция утраченных данных. Приведены примеры использования нейросетевых алгоритмов для расшифровки древних рукописей, восстановления утраченных текстов и автоматического анализа больших массивов исторических данных.
Вторая часть статьи посвящена количественному анализу в исторической науке. Рассматриваются примеры применения статистических и математических методов в исторической демографии, экономической истории и исследовании социальных связей прошлого.
Работа показывает, что использование ИИ и количественных методов позволяет историкам получать новые знания, анализировать большие объемы данных и находить скрытые закономерности в истории. Данные подходы расширяют возможности традиционной исторической науки, делая её более точной и масштабируемой.
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