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Ideo-Dynamic Diagnostic Expert Systems

The Self-evaluation of Own Mental Resources

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Proceedings of SAI Intelligent Systems Conference (IntelliSys) 2016 (IntelliSys 2016)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 15))

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Abstract

The purpose of this paper is to describe the expert systems of mental resources assessment using different methods of self-evaluation of hierarchical structure of individuality such as nomothetic, ideographic, and ideo-dynamic diagnostics. These expert systems were designed on the basis of INT-Test Design Software. The nomothetic method requires a big sample of participants and permits us to obtain only an averaged, statistical pattern but not a structure of individual mental resources of a person. The ideographic method is a study of a single person, in our case it is a modification of the nomothetic method due to the extension of a rank scale by including additional qualitative estimates (an opened scale method). The ideo-dynamic method describes an internal organization of mental resources of a single person by pairwise comparison procedure. The data obtained on the same person in different expert systems of individual mental resources assessment revealed the highest level of test-retest reliability for the ideo-dynamic method. The lowest level was for the nomothetic method.

The study was supported by RSF Grant (project №. 14-28-00087), Institute of Psychology RAS.

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Authors and Affiliations

  1. Institute of Psychology, Russian Academy of Sciences, Moscow, Russia

    E. V. Volkova & V. M. Rusalov

  2. Moscow Medical Center of Information Technologies, Moscow, Russia

    M. N. Nilopets

Authors
  1. E. V. Volkova
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  2. V. M. Rusalov
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  3. M. N. Nilopets
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Correspondence to E. V. Volkova .

Editor information

Editors and Affiliations

  1. Faculty of Computing and Engineering, School of Computing and Mathematics, University of Ulster at Jordanstown, Newtownabbey, United Kingdom

    Yaxin Bi

  2. The Science and Information (SAI) Organization, Bradford, West Yorkshire, United Kingdom

    Supriya Kapoor

  3. The Science and Information (SAI) Organization, Bradford, West Yorkshire, United Kingdom

    Rahul Bhatia

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Volkova, E.V., Rusalov, V.M., Nilopets, M.N. (2018). Ideo-Dynamic Diagnostic Expert Systems. In: Bi, Y., Kapoor, S., Bhatia, R. (eds) Proceedings of SAI Intelligent Systems Conference (IntelliSys) 2016. IntelliSys 2016. Lecture Notes in Networks and Systems, vol 15. Springer, Cham. https://doi.org/10.1007/978-3-319-56994-9_6

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  • DOI: https://doi.org/10.1007/978-3-319-56994-9_6

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-56993-2

  • Online ISBN: 978-3-319-56994-9

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