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Системы искусственного интеллекта принятия оптимальных решений в экономике

Системы искусственного интеллекта принятия оптимальных решений в экономике

Abstract

В статье рассмотрены возможности использования искусственного интеллекта в экономических системах. Показаны теоретические основы методологии описания распознаваемых объектов в выбранном признаковом пространстве. В качестве интеллектуальной модели стратегического управления может быть предложена система с адаптивной структурой, учитывающей факторы внешнего окружения и внутренние стратегические задачи, выбираемые на альтернативной основе. Подобные системы могут использоваться для решения макро- и микроэкономических задач, а также в формировании компетенций персонала.

Keywords

СИСТЕМЫ ИСКУССТВЕННОГО ИНТЕЛЛЕКТА,ЗАДАЧА РАСПОЗНАВАНИЯ ОБЪЕКТОВ,ЗАДАЧА ВЫБОРА РАБОЧЕЙ СИСТЕМЫ ПРИЗНАКОВ,ИНТЕЛЛЕКТУАЛЬНАЯ МОДЕЛЬ СТРАТЕГИЧЕСКОГО УПРАВЛЕНИЯ,ARTIFICIAL INTELLIGENCE,OBJECT RECOGNITION TASK,THE TASK OF CHOOSING THE WORKING SYSTEM FEATURES INTELLIGENT MODEL OF STRATEGIC MANAGEMENT

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
gold