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Original Article
Conceptual Design of IDGMS based on Multi-Agent Technologies
Zhumaliyeva Rakhima1
Yermagambetov Bauyrzhan2
Omirali Ulbossyn3
1 2 3 Institute of Digital Transformation and Artificial Intelligence/ Narxoz University, Kazakhstan.
Published Online: January-April 2026
Pages: 61-72
Cite this article
↗ https://www.doi.org/10.59256/indjcst.20260501009
References
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10. Guisi D. M, Ribeiro R., Teixeira M., Borges A. P., Dosciatti E., Enembreck F. A Hybrid Interaction Model for Multi Agent Reinforcement Learning // Proceedings of 8th International Conference on Agents and Artificial Intelligence (ICAART 2016). — 2016. — Р. 123–131. — DOI: 10.5220/0005785501230131.
11. Gutnik G., Kaminka G.A. Representing Conversations for Scalable Overhearing // Journal of Artificial Intelligence Research. — 2006. — Vol. 25. — P. 349– 387. — DOI: 10.1613/jair.1829.
12. Braquet M., Bakolas E. Greedy decentralized auction based task allocation for multi agent systems // IFAC PapersOnLine. — 2021. — Vol. 54, Issue 20. —P. 675–680. — DOI: 10.1016/j.ifacol.2021.11.249.
13. Rahmanzadeh A., Farahani A., Nazemi E. A new organization model for self organizing multi agent systems based on self adaptation features // International Journal of Intelligent Information Systems. — 2014. — Vol. 3, № 6 1. — С. 15–22. — DOI: 10.11648/j.ijiis.s.2014030601.13.
14. Batzorig Bazargur, Otgonbayar Bataa, Uuganbayar Budjav. Reliability Study for Communication System: A Case Study of an Underground Mine // Applied Sciences. — 2023. — 13(2). — Article 821. — DOI: 10.3390/app13020821
15. Nahshon Y., Morand L., Büschelberger M., Helm D., Kumaraswamy K., Zierep P., Weber M., de Andrés P. Semantic orchestration and exploitation of material data: A dataspace solution demonstrated on steel and copper applications // Advanced Engineering Materials. — 2024. — Article 1448. — DOI: 10.1002/adem.202401448.
16. Kolajo T., Daramola O., Adebiyi A. Big data stream analysis: a systematic literature review // Journal of Big Data. — 2019. — Vol. 6, Article 47. — DOI: 10.1186/s40537 019 0210 7.
17. Liang Y. Pan Y., Yang H. Wang Z. Evaluating a self manageable architecture for industrial automation systems // Computers in Industry. — 2023. — Vol. 152. — Article 103626. — DOI: 10.1016/j.compind.2023.103626.
18. Alpysbay M., Orynbassarova E., Sydyk N., Adebiyet B., Kamza А. Mining mapping and exploration using remote sensing data in Kazakhstan: a review // Engineering Journal of Satbayev University. — 2024. — Vol. 146, No. 2. — P. 37–46. — DOI: 10.51301/ejsu.2024.i2.05.
2. Tripathi V., Ballotta L., Carlone L., Modiano E. Computation and Communication Co Design for Real Time Monitoring and Control in Multi Agent Systems // 19th International Symposium on Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks (WiOpt 2021). — 2021. — P. 65–72. — DOI: 10.23919/WiOpt52861.2021.9589966.
3. Russo M., Santoro C., Santoro F.F., Tudisco A. Advancing Robotic Systems with Distributed Multi-Agent Digital Twins: A Scalable and Adaptive Framework // SN Computer Science. — 2025. — 6, Article 975. — DOI: 10.1007/s42979-025-04525-w.
4. Siatras V. Bakopoulos E., Mavrothalassitis P., Nikolakis N., Alexopoulos K. Production Scheduling Based on a Multi-Agent System and Digital Twin: A Bicycle Industry Case // Information. — 2024. — 15(6): 337. — DOI: 10.3390/info15060337.
5. Galuzin V., Galitskaya A., Grachev S., Larukhin V., Novichkov D., Skobelev P., Zhilyaev A. Autonomous Digital Twin of Enterprise: Method and Toolset for Knowledge Based Multi Agent Adaptive Management of Tasks and Resources in Real Time // Mathematics. — 2022. — 10 (10): 1662. — DOI: 10.3390/math10101662.
6. Germann M., Rieder C., Scherer K.P. Ontology based Information Management for Industrial Applications // Proceedings of the 12th International Conference on Agents and Artificial Intelligence (ICAART 2020). — 2020. — Vol. 2. — P. 773–779. — DOI: 10.5220/0009095607730779.
7. Sun W., Zhou Z., Ma F., Wang J., Ji C. Industrial Application of Data Driven Process Monitoring with an Automatic Selection Strategy for Modeling Data // Processes. — 2023. — 11(2): 402. — DOI: 10.3390/pr11020402.
8. Nagovitsyn O.V., Stepacheva A.V. Digital twin of solid mineral deposit // Journal of Mining Science. — 2021. — Vol. 57, № 6. — P. 1033–1040. — DOI: 10.1134/S1062739121060168.
9. Ataei M., Eghmazi A., Shakerian A., Landry R. Jr., Chevrette G. Publish/Subscribe Method for Real Time Data Processing in Massive IoT Leveraging Blockchain for Secured Storage // Sensors. — 2023. — Vol. 23, № 24. — Article 9692. — DOI: 10.3390/s23249692.
10. Guisi D. M, Ribeiro R., Teixeira M., Borges A. P., Dosciatti E., Enembreck F. A Hybrid Interaction Model for Multi Agent Reinforcement Learning // Proceedings of 8th International Conference on Agents and Artificial Intelligence (ICAART 2016). — 2016. — Р. 123–131. — DOI: 10.5220/0005785501230131.
11. Gutnik G., Kaminka G.A. Representing Conversations for Scalable Overhearing // Journal of Artificial Intelligence Research. — 2006. — Vol. 25. — P. 349– 387. — DOI: 10.1613/jair.1829.
12. Braquet M., Bakolas E. Greedy decentralized auction based task allocation for multi agent systems // IFAC PapersOnLine. — 2021. — Vol. 54, Issue 20. —P. 675–680. — DOI: 10.1016/j.ifacol.2021.11.249.
13. Rahmanzadeh A., Farahani A., Nazemi E. A new organization model for self organizing multi agent systems based on self adaptation features // International Journal of Intelligent Information Systems. — 2014. — Vol. 3, № 6 1. — С. 15–22. — DOI: 10.11648/j.ijiis.s.2014030601.13.
14. Batzorig Bazargur, Otgonbayar Bataa, Uuganbayar Budjav. Reliability Study for Communication System: A Case Study of an Underground Mine // Applied Sciences. — 2023. — 13(2). — Article 821. — DOI: 10.3390/app13020821
15. Nahshon Y., Morand L., Büschelberger M., Helm D., Kumaraswamy K., Zierep P., Weber M., de Andrés P. Semantic orchestration and exploitation of material data: A dataspace solution demonstrated on steel and copper applications // Advanced Engineering Materials. — 2024. — Article 1448. — DOI: 10.1002/adem.202401448.
16. Kolajo T., Daramola O., Adebiyi A. Big data stream analysis: a systematic literature review // Journal of Big Data. — 2019. — Vol. 6, Article 47. — DOI: 10.1186/s40537 019 0210 7.
17. Liang Y. Pan Y., Yang H. Wang Z. Evaluating a self manageable architecture for industrial automation systems // Computers in Industry. — 2023. — Vol. 152. — Article 103626. — DOI: 10.1016/j.compind.2023.103626.
18. Alpysbay M., Orynbassarova E., Sydyk N., Adebiyet B., Kamza А. Mining mapping and exploration using remote sensing data in Kazakhstan: a review // Engineering Journal of Satbayev University. — 2024. — Vol. 146, No. 2. — P. 37–46. — DOI: 10.51301/ejsu.2024.i2.05.
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