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Using Information Processing Strategies to Predict Message Level Contagion in Social Media Read chapter Read first chapter

2020 | OriginalPaper | Chapter

Deep-Learned Artificial Intelligence and System-Informational Culture Ergonomics

Authors : Nicolay Vasilyev, Vladimir Gromyko, Stanislav Anosov

Published in: Advances in Artificial Intelligence, Software and Systems Engineering

Publisher: Springer International Publishing

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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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Metadata
Title
Deep-Learned Artificial Intelligence and System-Informational Culture Ergonomics
Authors
Nicolay Vasilyev
Vladimir Gromyko
Stanislav Anosov
Copyright Year
2020
Book
Advances in Artificial Intelligence, Software and Systems Engineering

Print ISBN: 978-3-030-20453-2

Electronic ISBN: 978-3-030-20454-9

Copyright Year: 2020

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

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