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Интеллектуальная Система Тематического Исследования НАукометрических данных |
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From Automatization to Neurophenomenology of Artificial Intelligence in Roboticsстатья
- Авторы: Gromyko V.I., Vasilyev N.S.
- Журнал: International Robotics & Automation Journal (IRATJ)
- Том: 4
- Номер: 1
- Год издания: 2018
- Первая страница: 1
- Последняя страница: 2
- DOI: 10.15406/iratj.2018.04.00082
- Аннотация: The main problem in robotics is strengthening of robot artificial intelligence (IA) system. Its solution will facilitate cooperation of man with robot. Authors suggest advanced technology for IA development. It borrows method of universal (deep) tutoring (TU) relying on semantic axiomatic method (AM). By TU knowledge understanding is achieved by rational consciousness formation. It uses the utmost mathematical abstractions expressed on language of categories (LC). Being functional one LC is destined for intellectual processes (PIR) description due to its universal constructions. Following TU robot educational space (SER) is class of categories. Its IA sophistication occurs through new categories inclusion as required in robot IA multilevel hierarchical orientated network (NC) of notions. Universal laws of robot functioning are embodied as operations of algebraic structures being objects of NC. It creates integrat-ed environment of applications (IEA). Robot intercourse with man and its interaction with working space (SWR) make active PIR happening in NC. Processes of assignments execution (PER) begin just when satisfaction to a set of relations in SWR and in robot space of notions is a success. Possibility of PIR to climb up the highest levels of NC and down the lowest ones endows robot with capability to generate PER making decisions in unfamiliar SWR. Keywords: Neurophenomenology, Universal Tutoring, Artificial Intelligence, Language of Categories, Functor, Free Algebra, Algebraic System, Abstract Type of Data, Intellectual Process, Execution Process.
- Добавил в систему: Громыко Владимир Иванович