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Artificial Intelligence pp 140–145Cite as

Automated Acquisition, Representation and Processing of Temporal Knowledge in Dynamic Intelligent Systems

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Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 11866))

Abstract

This paper analyzes the results of automated knowledge base construction for dynamic intelligent systems, in particular dynamic integrated expert systems on the basis of the so-called combined method of knowledge acquisition with temporal extensions. Dynamic intelligent systems are actively in demand in commercial and industrial applications. However, the effect of their application largely depends on the availability of modern software tools that automate the development of intelligent systems. At AI laboratory of NRNU MEPhI we develop dynamic integrated expert systems with AT TECHNOLOGY – software platform that implements problem-oriented methodology.

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Acknowledgements

This work was partially funded by the RFBR (Russian Foundation for Basic Research), project No. 18-01-00457.

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Authors and Affiliations

  1. National Research Nuclear University MEPhI, Moscow, Russia

    Galina V. Rybina & Elena S. Fontalina

Authors
  1. Galina V. Rybina
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  2. Elena S. Fontalina
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Corresponding author

Correspondence to Galina V. Rybina .

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Editors and Affiliations

  1. Federal Research Center "Computer Science and Control", Moscow, Russia

    Gennady S. Osipov

  2. Federal Research Center "Computer Science and Control", Moscow, Russia

    Aleksandr I. Panov

  3. Federal Research Center "Computer Science and Control", Moscow, Russia

    Konstantin S. Yakovlev

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Rybina, G.V., Fontalina, E.S. (2019). Automated Acquisition, Representation and Processing of Temporal Knowledge in Dynamic Intelligent Systems. In: Osipov, G., Panov, A., Yakovlev, K. (eds) Artificial Intelligence. Lecture Notes in Computer Science(), vol 11866. Springer, Cham. https://doi.org/10.1007/978-3-030-33274-7_9

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  • DOI: https://doi.org/10.1007/978-3-030-33274-7_9

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-33273-0

  • Online ISBN: 978-3-030-33274-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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