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Modelling and Data Analysis
2021. Vol. 11, no. 3, 57–73
https://doi.org/10.17759/mda.2021110304
ISSN: 2219-3758 / 2311-9454 (online)

Development of a System for Measuring the Intellectual Power of Actors

 
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Abstract

The problem of determining an accurate assessment of the actor’s ability to solve a problem of a certain degree of difficulty is considered in this work. The assessment is determined by a group of actors in the process of solving local problems, while the tasks are included in the competence of this group. Actors can be carriers of both natural and artificial intelligence. Condorcet Jury Theorem, Georg Rasсh Model, method of the evolutionary decision reconciliation (EDR) are used in the process of solving the problem posed. Related Experiences Assessment Scale is given. The measure of academic success is better predicted not by those experiences that are manifested during study activities, but those that arise along on the way to university. There is a slight effect of the influence of time on the measure of effort.

General Information

Keywords: actor, method of the evolutionary decision reconciliation, the probability of a correct decision, the difficulty of the task, the preparedness of the actor

Journal rubric: Software

OpenAlex citations: 1

OpenAlex trends: Technology and Human Factors in Education and Health, Educational Innovations and Challenges, Education and Professional Development

Information about the work in OpenAlex

Number of citations: 1

Topics

Technology and Human Factors in Education and Health

This cluster of papers explores the future of personalized medicine in healthcare, focusing on topics such as artificial intelligence, healthcare technology, medical innovation, ergonomics, biomedical signal analysis, digital health, cyber-physical systems, healthcare automation, and clinical decision support. The papers cover a wide range of interdisciplinary research related to advancing personalized medical treatments and technologies.

Number of works: 27270  |  Total number of citations: 81913

Topic detailsв OpenAlex

Educational Innovations and Challenges

This cluster of papers explores the digital transformation and its impact on higher education institutions, focusing on topics such as educational technology, distance learning, e-learning, university management, and student experience. It discusses the challenges, opportunities, and risks associated with the integration of digital technologies in higher education, as well as the pedagogical approaches driving this transformation.

Number of works: 86064  |  Total number of citations: 128385

Topic detailsв OpenAlex

Education and Professional Development

This cluster of papers explores trends in higher education, focusing on digitalization, pedagogical innovation, professional development, educational technology, sustainability, entrepreneurship, student-centered learning, e-learning, and educational management.

Number of works: 15495  |  Total number of citations: 24995

Topic detailsв OpenAlex

Work details in OpenAlex

Article type: scientific article

DOI: https://doi.org/10.17759/mda.2021110304

Acknowledgements. The authors are grateful to V.I. Protasov for his help in setting the prob¬lem and finding a way to solve it.

Published

For citation: Potapova, Z.E., Kisilevich, I.K. (2021). Development of a System for Measuring the Intellectual Power of Actors. Modelling and Data Analysis, 11(3), 57–73. (In Russ.). https://doi.org/10.17759/mda.2021110304

© Potapova Z.E., Kisilevich I.K., 2021

License: CC BY-NC 4.0

References

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  2. Venda, V.F. Sistemy gibridnogo intellekta: Evolyutsiya, psikhologiya, informatika [Tekst] / V.F. Venda // – M .: Mashinostroyeniye, 1990. – 448 s. (In Russ.).
  3. V.I. Protasov. Kak opredelit’ meru trudnosti zadaniy i uroven’ podgotovlennosti ekspertov pri ispol’zovanii metoda evolyutsionnogo soglasovaniya resheniy. Obrazovatel’nyye tekhnologii (g. Moskva). 2016, № 1, s. 80–93. (In Russ.).
  4. Сondorcet, marquis Marie-Jean-Antoine-Nicolas de Caritat. Essai sur l’application de l’analyse à la probabilité des décisions rendues à la pluralité des voix [Text] // –Paris: Imprimerie Royale, 1785.
  5. Rasch, G. Probabilistic Models for Some Intelligence and Attainment Tests [Text] / G. Rasch // – Chicago: University of Chicago Press, 1981. –199 p. DOI:10.2307/2287805
  6. Potapova Z.E., Protasov V.I. Metrologiya sistem evolyutsionnogo soglasovaniya resheniy i nor­mirovaniye intellektual’nogo truda. Sovremennyye informatsionnyye tekhnologii i IT-obrazovani­ye. – мM. 2019. s.1058–1069 (In Russ.). DOI: 10.25559/SITITO.15.201904.1047–1055
  7. Sharnin M.M., Protasov V.I., Potapova Z.E., Mel’nikov E.I., Morocho Minchalo. Teorema Kon­dorse i teorema ob ekspertakh. Trudy III Mezhdunarodnoy konferentsii “Fiziko-tekhnicheskaya informatika CPT2015”. Protvino, 16–20 iyunya 2015 g. – Izd. IFTI, 2016, s. 277–279. (In Russ.). eLIBRARY ID: 26129453
  8. V.I. Protasov, Z.E. Potapova, O.K. Osipchuk. Sertifikatsiya ekspertov i opredeleniye otnosi­tel’noy tseny zadachi v zavisimosti ot yeye slozhnosti. Trudy KHKH Baykal’skoy Vserossiyskoy konferentsii «Informatsionnyye i matematicheskiye tekhnologii v nauke i upravlenii». Chast’ 2. – Irkutsk: ISEM SO RAN. 2015, s.164-176 (In Russ.). eLIBRARY ID: 24206486

Information About the Authors

Zinaida E. Potapova, Candidate of Science (Physics and Matematics), Associate Professor, Chair of Mathematics and Cybernetics, Institute of Information Technology and Applied Mathematics, Moscow Aviation Institute, Moscow, Russian Federation, ORCID: https://orcid.org/0000-0002-2718-1556, e-mail: potapovaz@yandex.ru

Ilya K. Kisilevich, bachelor, graduate of the Department of Mathematics and Cybernetics, Institute of Information Technology and Applied Mathematics, Moscow Aviation Institute, Moscow, Russian Federation, e-mail: ilya.kisilevich@gmail.com

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