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Artificial Intelligence and Decision Making, 2010, Issue 4, Pages 14–40
(Mi iipr513)
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This article is cited in 22 scientific papers (total in 22 papers)
Data mining
The inductive J.S. Mill’s methods in artificial intelligence systems. Part II
V. K. Finn All-Russian Institute for Scientific and Technical Information of Russian Academy of Sciences, Moscow
Abstract:
The deductibility of hypotheses from Facts Bases using for discovery of different kinds of JSM-reasoning correctness is defined in the paper. The correspondence between JSM-reasoning total correctness and the tolerance spaces is established. The inductive method of residues and inductive method of concomitant variations are formalized and corresponding JSM-method strategies are defined in the paper. Dynamic regularities in Facts Bases are operationally defined by plausible inference rules for the method of concomitant variations. The features of JSM-method of automatic hypotheses generation in Intelligent Systems considered as the tool of knowledge discovery are discussed also.
Keywords:
JSM-method, inductive method of residues, inductive method of concomitant variations, tolerance spaces, abductive convergence, static and dynamic regularities in Facts Bases.
Citation:
V. K. Finn, “The inductive J.S. Mill’s methods in artificial intelligence systems. Part II”, Artificial Intelligence and Decision Making, 2010, no. 4, 14–40; Scientific and Technical Information Processing, 39:5 (2012), 241–260
Linking options:
https://www.mathnet.ru/eng/iipr513 https://www.mathnet.ru/eng/iipr/y2010/i4/p14
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Abstract page: | 28 | Full-text PDF : | 4 | References: | 1 |
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