Network Training by Generative AI Assistant of Personal Adaptive Ethical Semantic and Active Ontology

Evgeniy Bryndin

doi:doi:10.11648/j.ijiis.20251402.11

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Network Training by Generative AI Assistant of Personal Adaptive Ethical Semantic and Active Ontology

Evgeniy Bryndin^*

Published in International Journal of Intelligent Information Systems (Volume 14, Issue 2)

Received: 24 March 2025 Accepted: 9 April 2025 Published: 29 April 2025

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Abstract

In the process of life, a person forms and develops a three-level adaptive, thinking and ‘ethical spatial intelligence. Adaptive intelligence is formed and developed in the environment, forming a spatial adaptive ontology. Thinking intelligence is formed and developed by multimodal communication, learning, problem solving and decision making, forming a spatial semantic ontology. Ethical intelligence is formed and developed according to ethical values, forming spatial ethical value ontology. Three-level adaptive thinking ‘ethical spatial ontology participates in decision-making in real time at every moment of human activation in space. Three-level adaptive thinking ‘ethical spatial personal ontology of knowledge and skills can be formed by a generative AI assistant network learning. By forming three-level personal ontology, it will be possible to effectively and efficiently develop relevant and promising scientific research education. Preparing specialist for research activities, teaching his research skills and skills becomes the most important task of modern education. Training a specialist who can think creatively, independently find solutions in problem situations, navigate the information space is a priority in modern research education. Research scientific education helps to prepare qualified specialists capable of independent scientific activity and innovation, which is especially important in the context of a rapidly changing world and global challenges. Consequently, research education allows for the development of practically effective research activities based on the latest trends and discoveries in science, as well as the formation of fundamental science leading to new practical results.

Published in	International Journal of Intelligent Information Systems (Volume 14, Issue 2)
DOI	10.11648/j.ijiis.20251402.11
Page(s)	20-25
Creative Commons	This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.
Copyright	Copyright © The Author(s), 2025. Published by Science Publishing Group

Keywords

Network Learning, Generative AI Assistant, Personal Ontology, Scientific Research Education

References

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[2]	Trofimov K. A., Pyatiletova L. V. Alienated Man: “Private” Ontology as a Generator of “Personal” (and Genuine) Meanings // Humanitarian Scientific Research. 2018. No. 4.
[3]	Leontiev D. A. Man and the Life-World: From Ontology to Phenomenology. Cultural and Historical Psychology. 2019. Vol. 15. No. 1. P. 25–34.
[4]	E. E. Sapogova. Subjective Ontology and the Individual’s Lifeworld. Cultural-Historical Psychology 2019. Vol. 15, no. 1, 35–45.
[5]	Tapdyg Kerimov. The Ontological Turn in Social Sciences. SOCIOLOGICAL REVIEW. 2022. Vol 21. No. 1. Pp. 109-130.
[6]	Dmitry Yuryevich Pospelov. Ontologies in the Age of Digitalization. Information Modeling. No. 1. 2024.
[7]	Skorodumov D. A., Sukhanova E. V. Inner Freedom: The Problem of Subject Activity in Aurelius Augustine's Ontology of Providence. KANT, No. 1. 2025. Pp. 359-366.
[8]	Karpov A. O. Ontology of the Moral in the Phenomenon of Education // Questions of Philosophy. 2025. No. 1. Pp. 51–62.
[9]	Evgeny Bryndin. Information Essence of Spiritual Substance and Universe and Man in Cosmology. Journal of Earth and Environmental Science Research, Vol. 4, Is. 1. 2022. pp. 1-6.
[10]	Evgeny Bryndin. Client-Project-Oriented University Education in Era of Rapid Technological Development and Change of Professions. Science Journal of Education. Vol. 9, Issue 4, 2021. pp. 124-130.
[11]	Evgeny Bryndin. Formation of Reflexive Generative A. I. with Ethical Measures of Use. Research on Intelligent Manufacturing and Assembly. Vol. 3, Is. 1. 2024. pp. 109-117.
[12]	Evgeny Bryndin. Formation of Fair and Safe World Order at the BRICS+ Platform. Journal of Research in Social Science and Humanities, Volume 2, Is. 12. 2023. pp. 40-44.
[13]	Bryndin E. G. SYNERGY OF SECTORAL ECONOMIC CYCLES AND UNIFORM REGULATION OF CONSUMPTION – THE BASIS FOR HARMONIZING THE SOCIO-ECONOMIC STRUCTURE. Russia: Development Trends and Prospects. Yearbook. Issue 18: Proceedings of the XXII National Scientific Conference with International Participation "Modernization of Russia: Priorities, Problems, Solutions". Part 1 / RAS. INION. - M., 2023. - Part 1. P. 597-602.
[14]	Evgeny Bryndin. (2024). Formation of a Culture of Peace at the BRICS+ International Platform. The Journal of Social Sciences Studies and Research, 4(02), Page: 38–42.
[15]	Evgeny Bryndin. Towards Continuous Changes through Interacting Processes with Synergetic Self-Regulation according to the Law of Harmony. ShodhSamajik: Journal of Social Studies. India. 2025. pp. 29-38. https://doi.org/10.29121/ShodhSamajik.v2.i1.2025.15

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Bryndin, E. (2025). Network Training by Generative AI Assistant of Personal Adaptive Ethical Semantic and Active Ontology. International Journal of Intelligent Information Systems, 14(2), 20-25. https://doi.org/10.11648/j.ijiis.20251402.11

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ACS Style

Bryndin, E. Network Training by Generative AI Assistant of Personal Adaptive Ethical Semantic and Active Ontology. Int. J. Intell. Inf. Syst. 2025, 14(2), 20-25. doi: 10.11648/j.ijiis.20251402.11

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AMA Style

Bryndin E. Network Training by Generative AI Assistant of Personal Adaptive Ethical Semantic and Active Ontology. Int J Intell Inf Syst. 2025;14(2):20-25. doi: 10.11648/j.ijiis.20251402.11

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@article{10.11648/j.ijiis.20251402.11,
  author = {Evgeniy Bryndin},
  title = {Network Training by Generative AI Assistant of Personal Adaptive Ethical Semantic and Active Ontology
},
  journal = {International Journal of Intelligent Information Systems},
  volume = {14},
  number = {2},
  pages = {20-25},
  doi = {10.11648/j.ijiis.20251402.11},
  url = {https://doi.org/10.11648/j.ijiis.20251402.11},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijiis.20251402.11},
  abstract = {In the process of life, a person forms and develops a three-level adaptive, thinking and ‘ethical spatial intelligence. Adaptive intelligence is formed and developed in the environment, forming a spatial adaptive ontology. Thinking intelligence is formed and developed by multimodal communication, learning, problem solving and decision making, forming a spatial semantic ontology. Ethical intelligence is formed and developed according to ethical values, forming spatial ethical value ontology. Three-level adaptive thinking ‘ethical spatial ontology participates in decision-making in real time at every moment of human activation in space. Three-level adaptive thinking ‘ethical spatial personal ontology of knowledge and skills can be formed by a generative AI assistant network learning. By forming three-level personal ontology, it will be possible to effectively and efficiently develop relevant and promising scientific research education. Preparing specialist for research activities, teaching his research skills and skills becomes the most important task of modern education. Training a specialist who can think creatively, independently find solutions in problem situations, navigate the information space is a priority in modern research education. Research scientific education helps to prepare qualified specialists capable of independent scientific activity and innovation, which is especially important in the context of a rapidly changing world and global challenges. Consequently, research education allows for the development of practically effective research activities based on the latest trends and discoveries in science, as well as the formation of fundamental science leading to new practical results.
},
 year = {2025}
}

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TY  - JOUR
T1  - Network Training by Generative AI Assistant of Personal Adaptive Ethical Semantic and Active Ontology

AU  - Evgeniy Bryndin
Y1  - 2025/04/29
PY  - 2025
N1  - https://doi.org/10.11648/j.ijiis.20251402.11
DO  - 10.11648/j.ijiis.20251402.11
T2  - International Journal of Intelligent Information Systems
JF  - International Journal of Intelligent Information Systems
JO  - International Journal of Intelligent Information Systems
SP  - 20
EP  - 25
PB  - Science Publishing Group
SN  - 2328-7683
UR  - https://doi.org/10.11648/j.ijiis.20251402.11
AB  - In the process of life, a person forms and develops a three-level adaptive, thinking and ‘ethical spatial intelligence. Adaptive intelligence is formed and developed in the environment, forming a spatial adaptive ontology. Thinking intelligence is formed and developed by multimodal communication, learning, problem solving and decision making, forming a spatial semantic ontology. Ethical intelligence is formed and developed according to ethical values, forming spatial ethical value ontology. Three-level adaptive thinking ‘ethical spatial ontology participates in decision-making in real time at every moment of human activation in space. Three-level adaptive thinking ‘ethical spatial personal ontology of knowledge and skills can be formed by a generative AI assistant network learning. By forming three-level personal ontology, it will be possible to effectively and efficiently develop relevant and promising scientific research education. Preparing specialist for research activities, teaching his research skills and skills becomes the most important task of modern education. Training a specialist who can think creatively, independently find solutions in problem situations, navigate the information space is a priority in modern research education. Research scientific education helps to prepare qualified specialists capable of independent scientific activity and innovation, which is especially important in the context of a rapidly changing world and global challenges. Consequently, research education allows for the development of practically effective research activities based on the latest trends and discoveries in science, as well as the formation of fundamental science leading to new practical results.

VL  - 14
IS  - 2
ER  -

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Author Information

Evgeniy Bryndin

Research Department, Nature Information, Novosibirsk, Russia

Contact Email

http://orcid.org/0000-0001-8224-5439

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APA Style

Bryndin, E. (2025). Network Training by Generative AI Assistant of Personal Adaptive Ethical Semantic and Active Ontology. International Journal of Intelligent Information Systems, 14(2), 20-25. https://doi.org/10.11648/j.ijiis.20251402.11

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ACS Style

Bryndin, E. Network Training by Generative AI Assistant of Personal Adaptive Ethical Semantic and Active Ontology. Int. J. Intell. Inf. Syst. 2025, 14(2), 20-25. doi: 10.11648/j.ijiis.20251402.11

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AMA Style

Bryndin E. Network Training by Generative AI Assistant of Personal Adaptive Ethical Semantic and Active Ontology. Int J Intell Inf Syst. 2025;14(2):20-25. doi: 10.11648/j.ijiis.20251402.11

Copy | Download

@article{10.11648/j.ijiis.20251402.11,
  author = {Evgeniy Bryndin},
  title = {Network Training by Generative AI Assistant of Personal Adaptive Ethical Semantic and Active Ontology
},
  journal = {International Journal of Intelligent Information Systems},
  volume = {14},
  number = {2},
  pages = {20-25},
  doi = {10.11648/j.ijiis.20251402.11},
  url = {https://doi.org/10.11648/j.ijiis.20251402.11},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijiis.20251402.11},
  abstract = {In the process of life, a person forms and develops a three-level adaptive, thinking and ‘ethical spatial intelligence. Adaptive intelligence is formed and developed in the environment, forming a spatial adaptive ontology. Thinking intelligence is formed and developed by multimodal communication, learning, problem solving and decision making, forming a spatial semantic ontology. Ethical intelligence is formed and developed according to ethical values, forming spatial ethical value ontology. Three-level adaptive thinking ‘ethical spatial ontology participates in decision-making in real time at every moment of human activation in space. Three-level adaptive thinking ‘ethical spatial personal ontology of knowledge and skills can be formed by a generative AI assistant network learning. By forming three-level personal ontology, it will be possible to effectively and efficiently develop relevant and promising scientific research education. Preparing specialist for research activities, teaching his research skills and skills becomes the most important task of modern education. Training a specialist who can think creatively, independently find solutions in problem situations, navigate the information space is a priority in modern research education. Research scientific education helps to prepare qualified specialists capable of independent scientific activity and innovation, which is especially important in the context of a rapidly changing world and global challenges. Consequently, research education allows for the development of practically effective research activities based on the latest trends and discoveries in science, as well as the formation of fundamental science leading to new practical results.
},
 year = {2025}
}

Copy | Download

TY  - JOUR
T1  - Network Training by Generative AI Assistant of Personal Adaptive Ethical Semantic and Active Ontology

AU  - Evgeniy Bryndin
Y1  - 2025/04/29
PY  - 2025
N1  - https://doi.org/10.11648/j.ijiis.20251402.11
DO  - 10.11648/j.ijiis.20251402.11
T2  - International Journal of Intelligent Information Systems
JF  - International Journal of Intelligent Information Systems
JO  - International Journal of Intelligent Information Systems
SP  - 20
EP  - 25
PB  - Science Publishing Group
SN  - 2328-7683
UR  - https://doi.org/10.11648/j.ijiis.20251402.11
AB  - In the process of life, a person forms and develops a three-level adaptive, thinking and ‘ethical spatial intelligence. Adaptive intelligence is formed and developed in the environment, forming a spatial adaptive ontology. Thinking intelligence is formed and developed by multimodal communication, learning, problem solving and decision making, forming a spatial semantic ontology. Ethical intelligence is formed and developed according to ethical values, forming spatial ethical value ontology. Three-level adaptive thinking ‘ethical spatial ontology participates in decision-making in real time at every moment of human activation in space. Three-level adaptive thinking ‘ethical spatial personal ontology of knowledge and skills can be formed by a generative AI assistant network learning. By forming three-level personal ontology, it will be possible to effectively and efficiently develop relevant and promising scientific research education. Preparing specialist for research activities, teaching his research skills and skills becomes the most important task of modern education. Training a specialist who can think creatively, independently find solutions in problem situations, navigate the information space is a priority in modern research education. Research scientific education helps to prepare qualified specialists capable of independent scientific activity and innovation, which is especially important in the context of a rapidly changing world and global challenges. Consequently, research education allows for the development of practically effective research activities based on the latest trends and discoveries in science, as well as the formation of fundamental science leading to new practical results.

VL  - 14
IS  - 2
ER  -

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