|
Artificial Intelligence and Decision Making, 2016, Issue 1, Pages 57–64
(Mi iipr276)
|
|
|
|
This article is cited in 7 scientific papers (total 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.
Citation:
V. K. Finn, O. P. Shesternikova, “A new variant of the generalized JSM-method for automatic support of scientific research”, Artificial Intelligence and Decision Making, 2016, no. 1, 57–64; Scientific and Technical Information Processing, 44:5 (2016), 338–344
Linking options:
https://www.mathnet.ru/eng/iipr276 https://www.mathnet.ru/eng/iipr/y2016/i1/p57
|
Statistics & downloads: |
Abstract page: | 38 | Full-text PDF : | 13 | References: | 1 |
|