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A New Variant of the Generalized JSM-Method for Automatic Support of Scientific Research

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Abstract

This article reviews a new variant of the generalized JSM-method for automatic support of scientific research (ASRS). This version of the JSM-method applied for ASRS contains ternary predicates of similarity (cause, brake, effect) which contain binary “cause–effect” predicates and explicit brake definitions. The article considers a possibility for the basis of fact partition for the cases of the truth of the generalized method and an inductive method of similarity with a ban on counter-example predicates.

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Authors and Affiliations

  1. Federal Research Center Computer Science and Control, Russian Academy of Sciences, Moscow, 119333, Russia

    V. K. Finn

  2. Progtech Ltd., Moscow, 125373, Russia

    O. P. Shesternikova

Authors
  1. V. K. Finn
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  2. O. P. Shesternikova
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Corresponding author

Correspondence to V. K. Finn.

Additional information

Original Russian Text © V.K. Finn, O.P. Shesternikova, 2016, published in Iskusstvennyi Intellekt i Prinyatie Reshenii, 2016, No. 1, pp. 57–64.

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Finn, V.K., Shesternikova, O.P. A New Variant of the Generalized JSM-Method for Automatic Support of Scientific Research. Sci. Tech. Inf. Proc. 44, 338–344 (2017). https://doi.org/10.3103/S0147688217050045

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  • DOI: https://doi.org/10.3103/S0147688217050045

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