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Modelling and Data Analysis
2023. Vol. 13, no. 1, 25–35
https://doi.org/10.17759/mda.2023130103
ISSN: 2219-3758 / 2311-9454 (online)

Calculation of the Complexity of Game Tests for the PLines System

 
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Abstract

The paper proposes a method for calculating the complexity of game tests. Calculations are carried out for the PLines gaming system. Brief information about the PLines system is provided.

General Information

Keywords: game test, the complexity of the test

Journal rubric: Data Analysis

OpenAlex citations: 0

OpenAlex trends: Artificial Intelligence in Games

Information about the work in OpenAlex

Number of citations: 0

Topics

Artificial Intelligence in Games

This cluster of papers focuses on the research and development of artificial intelligence techniques for games, including Monte Carlo Tree Search, procedural content generation, interactive storytelling, player modeling, real-time strategy games, computational creativity, behavior trees, general game playing, and level generation.

Number of works: 54054  |  Total number of citations: 333539

Topic detailsв OpenAlex

Work details in OpenAlex

Article type: scientific article

DOI: https://doi.org/10.17759/mda.2023130103

Received 17.12.2022

Accepted

Published

For citation: Voitov, V.K., Shepeleva, E.A., Gavrilova, E.V. (2023). Calculation of the Complexity of Game Tests for the PLines System. Modelling and Data Analysis, 13(1), 25–35. (In Russ.). https://doi.org/10.17759/mda.2023130103

© Voitov V.K., Shepeleva E.A., Gavrilova E.V., 2023

License: CC BY-NC 4.0

References

  1. Chelnyshkova M.B. "Teoriya i praktika konstruirovaniya pedagogicheskikh testov. Uchebnoe posobie" M. "Logos", 2002.
  2. Neiman Yu.M., Khlebnikov V.A. "Vvedenie v teoriyu modelirovaniya i parametrizatsii pedagogicheskikh testov" M. 2000.
  3. Voitov V.K. "Raschet znachenii slozhnostei zadanii dlya adaptivnogo testa intellekta", Eksperimental'naya psikhologiya, 2013, tom 6, №2, s. 120-128.
  4. Voitov V.K., Kosikhin V.V., Ushakov D.V. Rabochaya pamyat' kak perspektivnyi konstrukt kognitivnoi psikhologii i metody ego izmereniya // Modelirovanie i analiz dannykh. 2015. № 1. S. 57-78.
  5. Voitov V.K., Shepeleva E.A., Gavrilova E.V. , Dumin P.N., Ermakov S.S. Novye sredstva psikhologicheskogo testirovaniya // Modelirovanie i analiz dannykh. 2021 № 1 94-108.

Information About the Authors

Vladimir K. Voitov, Candidate of Science (Engineering), Professor at the Faculty of Information Technology, Moscow State University of Psychology and Education, Moscow, Russian Federation, ORCID: https://orcid.org/0000-0001-6486-3049, e-mail: vojtovvk@mgppu.ru

Elena A. Shepeleva, Candidate of Science (Psychology), Leading Researcher, Institute of Psychology, Russian Academy of Sciences, Moscow State University of Psychology & Education, Moscow, Russian Federation, ORCID: https://orcid.org/0000-0001-9867-6524, e-mail: shepelevaea@mgppu.ru

Evgeniya V. Gavrilova, Candidate of Science (Psychology), Research Fellow, Centre of Applied Researches in Psychology and Education, Moscow State University of psychology and education (MSUPE), Moscow, Russian Federation, ORCID: https://orcid.org/0000-0003-0848-3839, e-mail: gavrilovaev@mgppu.ru

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