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JOURNALS // Artificial Intelligence and Decision Making // Archive

Artificial Intelligence and Decision Making, 2016 Issue 1, Pages 57–64 (Mi iipr276)

This article is cited in 7 papers

Data mining

A new variant of the generalized JSM-method for automatic support of scientific research

V. K. Finn, O. P. Shesternikova

Federal Research Center ‘Informatics and Control’ of Russian Academy of Science

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.

Keywords: generalized JSM-method, ban on counter examples, brake of cause.


 English version:
, 2016, 44:5, 338–344

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© Steklov Math. Inst. of RAS, 2024