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Deep-Learned Artificial Intelligence and System-Informational Culture Ergonomics

  • Nicolay VasilyevEmail author
  • Vladimir Gromyko
  • Stanislav Anosov
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 965)

Abstract

System-informational culture (SIC) phenomenology impels human to work in sophisticated scientific space of computer models. Applying computer instrumental systems one has to investigate and compare different fields of knowledge suffering constant cognitive, educational, and intellectual problems. Inter-discipline activity in SIC leans on meanings understanding presented in the utmost mathematical abstractions (UMA). Work in SIC era unites cognition, education, and scientific research. SIC entelechies are to evolve rational part of consciousness. The objective is achievable by means of purposeful labor assisted by deep-learned artificial intelligence (DL IA). Technology is contributed allowing consciousness double helix auto-moulding in order to solve universalities problem. DL IA is to unwind intellectual processes and develop person’s scope of life. System axiomatic method is applied to coordinatization method and continuity property investigation.

Keywords

System-informational culture Deep-learned artificial intelligence Universal tutoring System axiomatic method Coordinatization Consciousness double helix Scope of life Language of categories Cogno-ontological knowledge base 

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Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  • Nicolay Vasilyev
    • 1
    Email author
  • Vladimir Gromyko
    • 2
  • Stanislav Anosov
    • 3
  1. 1.Fundamental SciencesBauman Moscow State Technical UniversityMoscowRussia
  2. 2.Computational Mathematics and CyberneticsLomonosov Moscow State UniversityMoscowRussia
  3. 3.Public Company Vozrozhdenie BankMoscowRussia

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