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Deep-Learned Artificial Intelligence for Consciousness – Thinking Objectization to Rationalize a Person

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Advances in Artificial Systems for Medicine and Education IV (AIMEE 2020)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1315))

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Abstract

System-informational culture (SIC) is full of science big data anthropogenic environment of artificial intelligence (IA) applications. Mankind has to live in networks of virtual worlds. Cultural evolution extends scientific thinking to everyone in the boundaries of synthetic presentations of systems. Traditional education has become overweighted problem. Because of that it is necessary to learn a person to learn oneself. Achieving level of cognogenesis educational process in SIC is to be directed on consciousness – thinking objectization. Personal self – building leans on axiomatic method and mathematical universalities. For the objective of auto-poiesis, a person come untwisted as universal rational one possessing trans – semantic consciousness. Gender phenomenology in SIC presents thinking – knowledge by IA tools needing consonant partnership with man. The latter is based on epistemology to extend hermeneutic circle of SIC. Like that up-to-date noosphere poses objectization problem to attain Lamarck’s human evolution on the ground of Leibnitz’s mathesis universalis in the form of categories language. It can be solved only by means of deep – learned and natural intelligences adaptive partnership.

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Author information

Authors and Affiliations

  1. Fundamental Sciences, Bauman Moscow State Technical University, 2-d Bauman Street, 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. International Center of Informatics and Computer Science, Faculty of Applied Mathematics, National Technical University of Ukraine “Kyiv Polytechnic Institute”, Kyiv, Ukraine

    Zhengbing Hu

  2. Laboratory of Biomechanical Systems, Mechanical Engineering Research Institute of the Russian Academy of Sciences, Moscow, Russia

    Sergey Petoukhov

  3. Halmos College of Arts and Sciences, Nova Southeastern University, Ft. Lauderdale, FL, USA

    Matthew He

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Vasilyev, N., Gromyko, V., Anosov, S. (2021). Deep-Learned Artificial Intelligence for Consciousness – Thinking Objectization to Rationalize a Person. In: Hu, Z., Petoukhov, S., He, M. (eds) Advances in Artificial Systems for Medicine and Education IV. AIMEE 2020. Advances in Intelligent Systems and Computing, vol 1315. Springer, Cham. https://doi.org/10.1007/978-3-030-67133-4_7

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