Scientific and Technical Information Processing

, Volume 44, Issue 5, pp 338–344 | Cite as

A New Variant of the Generalized JSM-Method for Automatic Support of Scientific Research

Article
First Online:
  • 3 Downloads

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 
This is a preview of subscription content, log in to check access

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. 1.
    Mill, J.S., A System of Logic Ratiocinative and Inductive, Being a Connected View of the Principles of Evidence and the Methods of Scientific Investigation, London: Parker, Son and Bowin, 1843, 1st ed.CrossRefGoogle Scholar
  2. 2.
    Arskii, Yu.M. and Finn, V.K., Principles of designing intelligent systems, Inf. Tekhnol. Vychisl. Sist., 2008, no. 4, pp. 4–37.Google Scholar
  3. 3.
    DSM-metod avtomaticheskogo porozhdeniya gipotez: Logicheskie i epistemologicheskie osnovaniya (A JSMMethod for Automatic Hypothesis Generation: Logical and Epistemological Grounds), Anshakov, M., Ed., Knizhnyi dom Librokom/URSS, 2009, ch. 2, p. 192.Google Scholar
  4. 4.
    Finn, V.K., Detecting empirical regularities in bases of facts using JSM reasoning, Autom. Doc. Math. Linguist., 2015, vol. 49, no. 4, pp. 122–151.CrossRefGoogle Scholar
  5. 5.
    Shesternikova, O.P., Agafonov, M.A., Vinokurova, L.V., Pankratova, E.S., and Finn, V.K., Intelligent system for diabetes prediction in patients with chronic pancreatitis, Sci. Tech. Inf. Process., 2016, vol. 43, pp. 315–345.CrossRefGoogle Scholar
  6. 6.
    Finn, V.K. and Mikheenkova, M.A., Some problems of the generalized JSM-method of automated generation of hypotheses, Semantika Inf., 1993, vol. 33, pp. 136–163.Google Scholar
  7. 7.
    Finn, V.K., Epistemological foundations of the JSM method for automatic hypothesis generation, Autom. Doc. Math. Linguist., 2014, vol. 48, no. 2, pp. 96–148.CrossRefGoogle Scholar
  8. 8.
    DSM-metod avtomaticheskogo porozhdeniya gipotez: Logicheskie i epistemologicheskie osnovaniya (A JSMMethod for Automatic Hypothesis Generation: Logical and Epistemological Grounds), Anshakov, M., Ed., Knizhnyi dom Librokom/URSS, 2009, ch. 5, pp. 240–286.Google Scholar
  9. 9.
    Finn, V.K., Distributive lattices of inductive JSM procedures, Autom. Doc. Math. Linguist., 2014, vol. 48, no. 6, p. 265–295CrossRefGoogle Scholar

Copyright information

© Allerton Press, Inc. 2017

Authors and Affiliations

  1. 1.Federal Research Center Computer Science and ControlRussian Academy of SciencesMoscowRussia
  2. 2.Progtech Ltd.MoscowRussia

Personalised recommendations