Эмоции человека в когнитивном интеллектуальном роботизированном управлении. Ч. 1: Подход на квантовых / мягких вычислениях
Боковая панель статьи
Основное содержимое статьи
Аннотация
Статья состоит из двух частей. Часть 1 показывает возможность реализации технологии квантового глубокого машинного обучения на основе квантового оптимизатора баз знаний на мягких вычислениях в задачах когнитивного интеллектуального управления с использованием когнитивного шлема в качестве нейроинтерфейса. Целью этой части статьи является демонстрация возможности классификации ментальных состояний человека-оператора с извлечением знаний из электроэнцефалограмм на основе инструментариев SCOptKB™ и QCOptKB™. Описано применение технологий мягких вычислений для выявления объективных показателей психофизиологического состояния исследуемого человека. Показана роль и необходимость применения интеллектуальных информационных технологий на основе интеллектуального инструментария в задаче объективной оценки общего психофизического состояния человека-оператора. Разработанная информационная технология рассмотрена на особых (сложных в диагностической практике) примерах оценки эмоционального состояния детей, страдающих аутизмом, а также описан процесс создания базы знаний для интеллектуального робота сервисного обслуживания. Показано применение интеллектуального когнитивного управления в навигации автономного робота для обхода препятствий.
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