Self-reflexion and learning
- Authors: Novikov D.A.1
-
Affiliations:
- V.A. Trapeznikov Institute of Control Sciences of RAS
- Issue: No 117 (2025)
- Pages: 7-18
- Section: Systems analysis
- URL: https://journals.rcsi.science/1819-2440/article/view/360555
- DOI: https://doi.org/10.25728/ubs.2025.117.1
- ID: 360555
Cite item
Full Text
Abstract
Self-reflection is the subject's reflection and analysis of their own understanding of reality, the principles and techniques of their activities, the correspondence of their results to their goals, and ways to improve the effectiveness of their activities. This article examines several models of self-reflection, described in terms of learning processes. It is shown that, with a non-decreasing learning curve dependent on the total learning time, the optimal strategy is to maximize the initial learning period. That is, if the conditions for acquiring and mastering experience do not change (during the activity, the subject does not receive qualitatively new information), then self-reflection is meaningless. Self-reflection is justified if, for example, the individual learning rate increases during productive activity. Hierarchical learning models are proposed, in which the achieved values of the learning criterion determine the learning rate at a higher level of the hierarchy, what can also be considered an effect of self-reflection.
Keywords
About the authors
Dmitry Aleksandrovich Novikov
V.A. Trapeznikov Institute of Control Sciences of RAS
Email: novikov@ipu.ru
Moscow
References
1. АНИСИМОВ О.С. Авторефлексия и самопознание // Живая психология. – 2016. – Т. 3, №1. – C. 11–28.2. БЕЛОВ М.В., НОВИКОВ Д.А. Модели опыта // Про-блемы управления. – 2021. – №1. – С. 43–60.3. БЕЛОВ М.В., НОВИКОВ Д.А. Модели технологий. – М.: Ленанд, 2019. – 160 с.4. ЛЕФЕВР В.А. Рефлексия. М.: Когито-центр, 2003. – 296 с.5. ЛИТВИНОВ А.В., ИВОЛГИНА Т.В. Метакогниция: Понятие, структура, связь с интеллектуальными и когнитивными способностями (по материалам зару-бежных исследований) // Современная зарубежная пси-хология. – 2013. – №3. – С. 59–70.6. МАЙЕР Р.В. Кибернетическая педагогика: имитаци-онное моделирование процесса обучения: монография. – Глазов: Глазов. гос. пед. ин-т, 2014. – 141 c.7. НОВИКОВ А.М., НОВИКОВ Д.А. Образовательный проект. – М.: Эгвес, 2004. – 120 с.8. НОВИКОВ Д.А. Математические модели формиро-вания и функционирования команд. – М.: Изд-во физ.-мат. лит-ры, 2008. – 184 с.9. НОВИКОВ Д.А., ЧХАРТИШВИЛИ А.Г. Рефлексия и управление: математические модели. – М.: Физматлит, 2013. – 412 с.10. Теория управления: словарь системы основных поня-тий. – М.: Ленанд, 2024. – 128 с.11. ФЕДЯНИН Д.Н., ЧХАРТИШВИЛИ А.Г. Обобщенная множественная структура информированности // Управление большими системами. – 2024. – Вып. 109. – С. 6–20.12. ЦУПИКОВА Е.В., ЦЫГУЛЕВА М.В. Эксперимен-тальная проверка модели формирования умений авто-рефлексии // Гуманитарные исследования. – 2019. – №3(24). – С. 172–178.13. DOU Z., YANG C., WU X. et al. Re-ReST: Reflection-Reinforced Self-Training for Language Agents // Proc. of the 2024 Conf. on Empirical Methods in Natural Language Processing. – 2024. – P. 15394–15411.14. FAISAL S., LOVA M., LADIN S. et al. Self-Reflection Model Based on Fact, Feeling, Finding, Future, Frame-work // Journal Teknologi Pendidikan. – 2025. – Vol. 27, No. 1. – P. 236–252.15. FLAVELL J. Metacognitive Aspects of Problem Solving // The Nature of Intelligence. Ch. 12. – New Jersey, 1976. – P. 231–235.16. GIBBS G. Learning by Doing. A Guide to Teaching and Learning Methods. – London: Further Education Unit, 1998. – 129 p.17. LEBUDA I., BENDEK M. A Systematic Framework of Creative Metacognition // Physics of Life Reviews. – 2023. – Vol. 46. – P. 161–181.18. MARÍN C., MEHANDJIEV N. A Classification Frame-work of Adaptation in Multi-Agent Systems // In: Klusch M., Rovatsos M., Payne T.R. (eds) Cooperative Information Agents // Lecture Notes in Computer Science. – 2006. – Vol. 4149. – P. 1–25.19. NOVIKOV D. Control, Activity, Personality // Advances in Systems Science and Applications. – 2020. – Vol. 20, No. 3. – P. 113–135.20. RENZE M., GUVEN E. Self-Reflection in LLM Agents: Effects on Problem-Solving Performance // arXiv:2405.06682v3.21. VARSOS K., PAPAMICHAIL M., FLOURIS G. et al. Adaptation Procedure in Misinformation Games // Auton Agent Multi-Agent Syst. – 2025. – Vol. 39, No. 22. – P. 1 47.
Supplementary files
