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Dynamic Intelligent Systems Integration and Evolution of Intelligent Control Systems Architectures

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Biologically Inspired Cognitive Architectures (BICA) for Young Scientists

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 449))

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Abstract

The work deals with the problems of integration and hybridization in today’s dynamic intelligent systems. On the example of the individual classes of intelligent control systems (ICS) development experience the evolution of ICS architectures in accordance with the integration paradigm of artificial intelligence with models, methods and tools from other areas (automatic control system, simulation, etc.) are examined. An example of the integration of complex discrete systems simulation models with of dynamic integrated expert systems separate components developed in MEPhI and based on task-oriented methodology and tool set AT-TECHNOLOGY is described.

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Author information

Authors and Affiliations

  1. National Research Nuclear University MEPhI, Moscow, Russia

    Victor M. Rybin, Galina V. Rybina & Sergey S. Parondzhanov

Authors
  1. Victor M. Rybin
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  2. Galina V. Rybina
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  3. Sergey S. Parondzhanov
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Corresponding author

Correspondence to Galina V. Rybina .

Editor information

Editors and Affiliations

  1. Department 22 “Cybernetics”, National Research Nuclear University, Moscow, Russia

    Alexei V. Samsonovich

  2. “MEPhI”, National Research Nuclear University, Moscow, Russia

    Valentin V. Klimov

  3. “MEPhI”, National Research Nuclear University, Moscow, Russia

    Galina V. Rybina

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© 2016 Springer International Publishing Switzerland

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Rybin, V.M., Rybina, G.V., Parondzhanov, S.S. (2016). Dynamic Intelligent Systems Integration and Evolution of Intelligent Control Systems Architectures. In: Samsonovich, A., Klimov, V., Rybina, G. (eds) Biologically Inspired Cognitive Architectures (BICA) for Young Scientists . Advances in Intelligent Systems and Computing, vol 449. Springer, Cham. https://doi.org/10.1007/978-3-319-32554-5_21

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  • DOI: https://doi.org/10.1007/978-3-319-32554-5_21

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-32553-8

  • Online ISBN: 978-3-319-32554-5

  • eBook Packages: EngineeringEngineering (R0)

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