Artificial Intelligence and Decision Making
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Artificial Intelligence and Decision Making, 2010, Issue 3, Pages 3–21 (Mi iipr502)  

This article is cited in 27 scientific papers (total in 27 papers)

Data mining

J.S. Mill’s inductive methods in artificial intelligence systems. Part I

V. K. Finn

All-Russian Institute for Scientific and Technical Information of Russian Academy of Sciences, Moscow
Abstract: The principles of J.S. Mill’s induction are formulated. These principles are developed and formalized for the five J.S. Mill’s inductive methods (the method of agreement, the method of difference, the joint method of agreement and difference, the method of residues, and the method of concomitant variations). The method of agreement, the method of difference, and the joint method of agreement and difference are considered in the Part I. The possible strategies of plausible reasoning realizing interaction of Mill’s induction, analogy and abduction are formulated. These strategies are considered to be cognitive reasoning (the justification is provided).
Keywords: JSM-method, induction, analogy, abduction, method of agreement, method of difference, joint method of agreement and difference, method of residues, method of concomitant variations.
English version:
Scientific and Technical Information Processing, 2011, Volume 38, Issue 6, Pages 385–402
DOI: https://doi.org/10.3103/S0147688211060037
Bibliographic databases:
Document Type: Article
Language: Russian
Citation: V. K. Finn, “J.S. Mill’s inductive methods in artificial intelligence systems. Part I”, Artificial Intelligence and Decision Making, 2010, no. 3, 3–21; Scientific and Technical Information Processing, 38:6 (2011), 385–402
Citation in format AMSBIB
\Bibitem{Fin10}
\by V.~K.~Finn
\paper J.S. Mill’s inductive methods in artificial intelligence systems. Part~I
\jour Artificial Intelligence and Decision Making
\yr 2010
\issue 3
\pages 3--21
\mathnet{http://mi.mathnet.ru/iipr502}
\elib{https://elibrary.ru/item.asp?id=17311860}
\transl
\jour Scientific and Technical Information Processing
\yr 2011
\vol 38
\issue 6
\pages 385--402
\crossref{https://doi.org/10.3103/S0147688211060037}
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  • https://www.mathnet.ru/eng/iipr/y2010/i3/p3
    Cycle of papers
    This publication is cited in the following 27 articles:
    Citing articles in Google Scholar: Russian citations, English citations
    Related articles in Google Scholar: Russian articles, English articles
    Artificial Intelligence and Decision Making
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    Full-text PDF :38
    References:1
     
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