Deep-Learned Artificial Intelligence for Semantic Communication and Data Co-processing

  • Nicolay VasilyevEmail author
  • Vladimir Gromyko
  • Stanislav Anosov
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 1130)


Trans-disciplinary activity in system-informational culture (SIC) caused great knowledge sophistication and necessity for any person to have synthesis of true scientific presentations. Complication of informational flows satiated with scientific meanings needs their co-processing with the help of deep-learned artificial intelligence (DL IA). Artificial intelligence (IA) will assist man to identify universalities for third world understanding. Otherwise, it will be impossible to live comfortably in computer instrumental systems and its applications. Arising intellectual difficulties will alter significantly SIC subject armed with DL IA − powerful means of learning, cognition, and world study. Trained rational consciousness allows achieving semantic level of communication in SIC. In its work, DL IA leans on system axiomatic method and personal cogno-ontological knowledge base descript in language of categories. Examples explain contributed technology.


Trans-disciplinary activity Meaning Universalities Deep-learned artificial intelligence Cogno-ontological knowledge base Consciousness auto-building Self-reflection Language of categories System axiomatic method 


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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. 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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