Development of Psychological Diagnostics Systems Basing on New Mathematical Representations

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Abstract

Suggested is a new approach to development of the adaptive systems for psychological diagnostics, which can be considered as artificial intelligence tools for assessing the subject activities. It is based on the convolution of the applied Markovian process representing a diagnostic procedure under study into the quantum representation, which makes it possible to reveal the structure of this procedure with the aid of the quantum spectral analysis. When small samples of empirical data are in use to set up diagnostic tools, the considered quantum estimates have significant advantages over the relevant likelihood and Bayesian estimates as well as over the simpler estimates based on the neural networks.

General Information

Keywords: psychological diagnostics, quantum representations, Markovian processes, quantum filtering

Journal rubric: Psychodiagnostics

Article type: scientific article

DOI: https://doi.org/10.17759/exppsy.2023160211

Funding. State assignment of the Ministry of Education of the Russian Federation No. 073-00038-23-02 dated 13.02.2023.

Received: 01.04.2023

Accepted:

For citation: Kuravsky L.S., Yuryev G.A., Yuryeva N.E., Nikolaev I.A., Nesimova A.O., Polyakov B.Y., Kozyrev A.D. Development of Psychological Diagnostics Systems Basing on New Mathematical Representations. Eksperimental'naâ psihologiâ = Experimental Psychology (Russia), 2023. Vol. 16, no. 2, pp. 178–202. DOI: 10.17759/exppsy.2023160211. (In Russ., аbstr. in Engl.)

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Information About the Authors

Lev S. Kuravsky, Doctor of Engineering, professor, Dean of the Computer Science Faculty, Moscow State University of Psychology and Education, Moscow, Russia, ORCID: https://orcid.org/0000-0002-3375-8446, e-mail: l.s.kuravsky@gmail.com

Grigory A. Yuryev, PhD in Physics and Matematics, Associate Professor, Head of Department of the Computer Science Faculty, Leading Researcher, Youth Laboratory Information Technologies for Psychological Diagnostics, Moscow State University of Psychology and Education, Moscow, Russia, ORCID: https://orcid.org/0000-0002-2960-6562, e-mail: g.a.yuryev@gmail.com

Nataliya E. Yuryeva, PhD in Engineering, Head of Laboratory, Youth Laboratory Information Technologies for Psychological Diagnostics, Research Fellow, Information Technology Center for Psychological Studies of the Computer Science Faculty, Moscow State University of Psychology and Education, Moscow, Russia, ORCID: https://orcid.org/0000-0003-1419-876X, e-mail: yurieva.ne@gmail.com

Ivan A. Nikolaev, Research Assistant, Youth Laboratory Information Technologies for Psychological Diagnostics, Moscow State University of Psychology and Education, Moscow, Russia, ORCID: https://orcid.org/0000-0002-7715-5575, e-mail: stripeddog@yandex.ru

Alexandra O. Nesimova, Research Assistant, Youth Laboratory Information Technologies for Psychological Diagnostics, Moscow State University of Psychology and Education, Moscow, Russia, ORCID: https://orcid.org/0000-0002-8394-7376, e-mail: sasha.n2230@gmail.com

Borislav Y. Polyakov, Junior Researcher, Research Assistant, Laboratory of Mathematical Psychology and Applied Software of the Center for Information Technologies for Psychological Research, Moscow State University of Psychology and Education, Moscow, Russia, ORCID: https://orcid.org/0000-0002-6457-9520, e-mail: deslion@yandex.ru

Alexey D. Kozyrev, Post-Graduate Student, Moscow State University of Psychology and Education, Engineer, State Research Institute of Aviation Systems, Moscow, Russia, ORCID: https://orcid.org/0009-0008-1769-4121, e-mail: adkozyrev@2100.gosniias.ru

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