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V.K. Finn, M.A. Mikheenkova (1993)
Semiotika i informatika (Semiotics and Informatics)
V.K. Finn (2016)
On the class of JSM-arguments employing the isomorphism of inductive inference rulesIskusstv. Intell. Prinyatie Reshenii, 3
D.V. Vinogradov (2000)
Formalization of plausible reasoning in the logic of predicates of the first orderNauchno-Tekh. Inf. Ser. 2, 11
G. Grätzer (1978)
General Lattice Theory
V.K. Finn (2014)
Distributive lattices of inductive JSM proceduresAutom. Doc. Math. Linguist., 48
V.K. Finn (2012)
On the definition of empirical regularities by the JSM method for automatic hypothesis generationSci. Tech. Inf. Process., 39
O.P. Shesternikova, M.A. Agafonov, L.V. Vinokurova, E.S. Pankratova, V.K. Finn (2016)
Intelligent system for diabetes prediction in patients with chronic pancreatitsSci. Tech. Inf. Process., 43
J.B. Rosser, A.R. Turquette (1958)
Many-Valued Logics
V.K. Finn (2011)
J.S. Mill’s inductive methods in artificial intelligence systems. Part ISci. Tech. Inf. Process., 38
V.K. Finn (2004)
On the intellectual analysis of dataNov. Iskusstv. Intell., 3
V.K. Finn (2011)
Iskusstvennyi intellekt: Metodologiya, primeneniya, filosofiya (Artificial Intelligence: Methodology, Applications, and Philosophy)
O.P. Shesternikova (2016)
Intelligent system for diabetes prediction in patients with chronic pancreatitisIskusstv. Intell. Prinyatie Reshenii, 3
V.K. Finn (2014)
Epistemic foundations of the JSM method automatic hypothesis generationAutom. Doc. Math. Linguist., 48
J.S. Mill (1843)
System of Logic Ratiocinative and Inductive, Being a Connected View of Principles of Evidence and the Methods of Scientific Investigation
V.K. Finn, O.P. Shesternikova (2016)
On a new version of the generalized JSM-method of automated support of scientific researchIskusstv. Intell. Prinyatie Reshenii, 1
In this paper, we consider the strengthening of the JSM method for automated support of scientific research (ASSR JSM method) by introducing a ternary relationship of causality such that positive facts can contain negative causes and negative facts can contain positive causes. In this connection, we consider unions of factbase subsets that correspond to combinations of pairs of similarity predicates that, in turn, represent binary and ternary relationships of causality, respectively, for formalization of JSM reasoning rules.
Automatic Documentation and Mathematical Linguistics – Springer Journals
Published: Dec 7, 2017
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