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Deep-Learned Artificial Intelligence for Semantic Communication and Data Co-processingстатья
Информация о цитировании статьи получена из
Scopus
Дата последнего поиска статьи во внешних источниках: 1 февраля 2021 г.
- Авторы: Vasilyev Nicolay, Gromyko Vladimir, Anosov Stanislav
- Сборник: Advances in Intelligent Systems and Computing
- Том: 1130
- Год издания: 2020
- Издательство: Springer International Publishing AG
- Местоположение издательства: Cham, Switzerland
- Первая страница: 916
- Последняя страница: 926
- DOI: 10.1007/978-3-030-39442-4_70
- Аннотация: Trans-disciplinary activity in system-informational culture (SIC) caused great knowledge sophistication and necessity for any person to have synthesis of true scientific presentations. Complication of informational flows satiated with scientific meanings needs their co-processing with the help of deep-learned artificial intelligence (DL IA). Artificial intelligence (IA) will assist man to identify universalities for third world understanding. Otherwise, it will be impossible to live comfortably in computer instrumental systems and its applications. Arising intellectual difficulties will alter significantly SIC subject armed with DL IA − powerful means of learning, cognition, and world study. Trained rational consciousness allows achieving semantic level of communication in SIC. In its work, DL IA leans on system axiomatic method and personal cogno-ontological knowledge base descript in language of categories. Examples explain contributed technology.KeywordsTrans-disciplinary activity Meaning Universalities Deep-learned artificial intelligence Cogno-ontological knowledge base Consciousness auto-building Self-reflection Language of categories System axiomatic method
- Добавил в систему: Громыко Владимир Иванович