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Deep-Learned Artificial Intelligence and System-Informational Culture Ergonomics

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Advances in Artificial Intelligence, Software and Systems Engineering (AHFE 2019)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 965))

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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.

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Authors and Affiliations

  1. Fundamental Sciences, Bauman Moscow State Technical University, 2-d Bauman str., 5, b. 1, 105005, Moscow, Russia

    Nicolay Vasilyev

  2. Computational Mathematics and Cybernetics, Lomonosov Moscow State University, Leninskye Gory, 1-52, 119991, Moscow, Russia

    Vladimir Gromyko

  3. Public Company Vozrozhdenie Bank, Luchnikov per., 7/4, b. 1, 101000, Moscow, Russia

    Stanislav Anosov

Authors
  1. Nicolay Vasilyev
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  2. Vladimir Gromyko
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  3. Stanislav Anosov
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Corresponding author

Correspondence to Nicolay Vasilyev .

Editor information

Editors and Affiliations

  1. Institute for Advanced Systems Engineering, University of Central Florida, Orlando, FL, USA

    Tareq Ahram

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Vasilyev, N., Gromyko, V., Anosov, S. (2020). Deep-Learned Artificial Intelligence and System-Informational Culture Ergonomics. In: Ahram, T. (eds) Advances in Artificial Intelligence, Software and Systems Engineering. AHFE 2019. Advances in Intelligent Systems and Computing, vol 965. Springer, Cham. https://doi.org/10.1007/978-3-030-20454-9_14

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  • DOI: https://doi.org/10.1007/978-3-030-20454-9_14

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-20453-2

  • Online ISBN: 978-3-030-20454-9

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