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From automatization to neurophenomenology of artificial intelligence in robotics

Resource type
Journal Article
Authors/contributors
Title
From automatization to neurophenomenology of artificial intelligence in robotics
Abstract
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 method 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 concepts. Universal laws of robot functioning are embodied as operations of algebraic structures being objects of NC. It creates integrated 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.
Publication
International Robotics & Automation Journal
Volume
Volume 4
Issue
Issue 1
Date
2018/01/3
Journal Abbr
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 method 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 concepts. Universal laws of robot functioning are embodied as operations of algebraic structures being objects of NC. It creates integrated 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.
Language
English
ISSN
2574-8092
Accessed
3/18/25, 3:22 PM
Library Catalog
Extra
Publisher: MedCrave Publishing
Citation
Gromyko, V., & Vasilyev, N. (2018). From automatization to neurophenomenology of artificial intelligence in robotics. International Robotics & Automation Journal, Volume 4(Issue 1). https://doi.org/10.15406/iratj.2018.04.00082