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Biologically Inspired Cognitive Architectures (BICA) for Young Scientists pp 179–189Cite as

Features of Temporal Knowledge Acquisition and Representation in Dynamic Integrated Expert Systems

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

Abstract

We review the problems of the acquisition of temporal knowledge for the automated construction of knowledge base in dynamic integrated expert systems, the development of which is based on the task-oriented methodology and AT-TECHNOLOGY workbench. Analyze modern approaches of temporal knowledge acquisition from different sources of knowledge. And present features of the extended knowledge representation language and combined knowledge acquisition method, as well as promising directions of its development.

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Authors and Affiliations

  1. National Research Nuclear University MEPhI, Moscow, Russia

    Galina V. Rybina & Ivan D. Danyakin

Authors
  1. Galina V. Rybina
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  2. Ivan D. Danyakin
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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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Rybina, G.V., Danyakin, I.D. (2016). Features of Temporal Knowledge Acquisition and Representation in Dynamic Integrated Expert Systems. 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_23

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  • DOI: https://doi.org/10.1007/978-3-319-32554-5_23

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-32553-8

  • Online ISBN: 978-3-319-32554-5

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