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The Hybrid Design for Artificial Intelligence Systems

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Book cover Intelligent Systems and Applications (IntelliSys 2020)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1250))

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Abstract

The article discusses approaches to intelligent systems building based on a hybrid paradigm implemented by combining the bottom-up (neural network) and top-down (symbolic) approaches to the design and development of artificial intelligence systems. The scheme of the hybrid intelligence system device is described, its architecture, the purpose and functionality of its components, the principles of operation and the use of its subsystems are explained.

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Author information

Authors and Affiliations

  1. VoiceLink LLC., Milashenkova st. 4a, Moscow, 127322, Russian Federation

    R. V. Dushkin

  2. Lomonosov Moscow State University, Leninskiye Gory st. 1, Moscow, 119991, Russian Federation

    M. G. Andronov

Authors
  1. R. V. Dushkin
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  2. M. G. Andronov
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Corresponding authors

Correspondence to R. V. Dushkin or M. G. Andronov .

Editor information

Editors and Affiliations

  1. Saga University, Saga, Japan

    Kohei Arai

  2. The Science and Information (SAI) Organization, Bradford, West Yorkshire, UK

    Supriya Kapoor

  3. The Science and Information (SAI) Organization, Bradford, West Yorkshire, UK

    Rahul Bhatia

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Dushkin, R.V., Andronov, M.G. (2021). The Hybrid Design for Artificial Intelligence Systems. In: Arai, K., Kapoor, S., Bhatia, R. (eds) Intelligent Systems and Applications. IntelliSys 2020. Advances in Intelligent Systems and Computing, vol 1250. Springer, Cham. https://doi.org/10.1007/978-3-030-55180-3_13

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