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Subjective Expert Evaluations in the Model-Theoretic Representation of Object Domain Knowledge

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Artificial Intelligence (RCAI 2021)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 12948))

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Abstract

Often, evaluative knowledge about the object area is formulated not only as an objective (statistical) probability but also as a subjective (expert) probability. Expert evaluations may be incomplete or inconsistent with each other. A tool is needed to check the consistency of expertise.

The paper proposes a theoretical-modal formalization of subjective and objective interpretations of probability. This allows us to formulate the criteria for the correctness of the evaluative knowledge received from the experts. The article describes an algorithm for checking the correctness of evaluative knowledge, as well as an algorithm for correcting some incorrectness.

The research was funded by RFBR and Novosibirsk region, project No. 20-47-540005.

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Notes

  1. 1.

    https://github.com/Z3Prover/z3.

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Authors and Affiliations

  1. Novosibirsk State University, Novosibirsk, Russia

    Gulnara Yakhyaeva & Vera Skokova

Authors
  1. Gulnara Yakhyaeva
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  2. Vera Skokova
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Editor information

Editors and Affiliations

  1. Rostov State Transport University, Rostov-on-Don, Russia

    Sergei M. Kovalev

  2. National Research University Higher School of Economics, Moscow, Russia

    Sergei O. Kuznetsov

  3. Russian Academy of Sciences, Moscow, Russia

    Aleksandr I. Panov

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Yakhyaeva, G., Skokova, V. (2021). Subjective Expert Evaluations in the Model-Theoretic Representation of Object Domain Knowledge. In: Kovalev, S.M., Kuznetsov, S.O., Panov, A.I. (eds) Artificial Intelligence. RCAI 2021. Lecture Notes in Computer Science(), vol 12948. Springer, Cham. https://doi.org/10.1007/978-3-030-86855-0_11

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  • DOI: https://doi.org/10.1007/978-3-030-86855-0_11

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-86854-3

  • Online ISBN: 978-3-030-86855-0

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