Artificial intelligence as tutoring partner for human intellect

System informational culture (SIC) has stated the next problem of post neo classical science man. How to educate trans disciplinary man of scienceful culture (universal professional) capable to interpret and model knowledge by means of perception of humanitarian (art) and rational science unity? Co evolution of human mind and anthropogenic environment of computer instrumental systems (IS) occurs as subjective objectization of natural science knowledge (NSK). Authors have constructed model of artificial intelligence system of universal usage (AIUU) which supports continuous tutoring with the aim to form subject of SIC. Traditional education and known e-learning approaches can’t cope with the task. Phenomenology of consciousness is grounded on development of rational part of mind. Classical universalities problem of philosophy has been resolved in the model with the help of human ability to glottogenes in semantic direction. In this way the language of categories (LC) has been discovered. AIUU functions on the principles of knowledge without premises and educated unknowledge in the form of mathesis universales of LC. It also uses the unity of human and NSK proper to inter discipline activity in the SIC. The system generates and maintains educational space of meanings in the form of personal ontological knowledge base (KBO). By means of KBO artificial intelligence adaptively helps student to investigate any field of knowledge. LC is applied to express semantic. Axiomatic method provides the unity of ideal (theory) and real (modeling in IS). Universal tutoring is stated to resolve the problem of any theory understanding by professional clearness reduction to its self evidence. By the example of the theory of algorithms study it is shown how the approach to education works. © 2018, Springer International Publishing AG.

Authors
Gromyko V.I.1 , Kazaryan V.P.1 , Vasilyev N.S.2 , Simakin A.G. 3 , Anosov S.S.4
Language
English
Pages
238-247
Status
Published
Volume
658
Year
2018
Organizations
  • 1 Moscow Lomonosov State Univ., Moscow, Russian Federation
  • 2 Moscow Bauman State Tech. Univ., Moscow, Russian Federation
  • 3 Russia Peoples’ Friendship University, Moscow, Russian Federation
  • 4 Public company Vozrozhdenie Bank, Moscow, Russian Federation
Keywords
Artificial intelligence; Axiomatic method; Cognogenes; Functor; Glottogenes; Language of categories; Ontological knowledge base; Rational objectization; Self creation; Semantic consciousness; Super computer; System informational culture; Third world; Universal tutoring
Date of creation
19.10.2018
Date of change
19.10.2018
Short link
https://repository.rudn.ru/en/records/article/record/7149/
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