Engineering and Technology
| Open Access |
DOI: A Philosophical Cognitive Computing Model for Enhancing Cloud System Intelligence Through Plato’s Conceptual Frameworks and Knowledge Optimization
Abstract
The rapid evolution of cloud computing has transformed digital infrastructures from passive data storage environments into intelligent computational ecosystems capable of autonomous decision-making, adaptive optimization, and cognitive interaction. However, contemporary cloud systems frequently emphasize computational efficiency while lacking deeper conceptual models for knowledge interpretation, reasoning, and value-oriented intelligence. This research proposes a Philosophical Cognitive Computing Model (PCCM) that integrates Platonic conceptual frameworks with modern cloud intelligence mechanisms to enhance knowledge optimization, adaptive reasoning, and intelligent system governance. The study develops a theoretical and functional framework by examining philosophical foundations of knowledge, cognitive modeling, and scientific reasoning and mapping them into cloud-based computational architectures. The proposed model introduces cognitive knowledge layers, philosophical reasoning mechanisms, adaptive intelligence modules, and optimization strategies for intelligent cloud environments. Through analytical synthesis of existing philosophical and cognitive perspectives, the research demonstrates that integrating philosophical reasoning principles can improve interpretability, decision consistency, and human-centered intelligence in cloud computing systems. The findings suggest that philosophy-driven cognitive architectures provide a promising direction for developing next-generation intelligent cloud platforms capable of combining computational power with conceptual understanding.
Keywords
Cognitive Computing, Cloud Intelligence, Plato’s Philosophy, Knowledge Optimization
References
Aberšek, B., Flogie, A., & Pesek, I. (2023). Philosophical andsocial realm. In B. Aberšek, A. Flogie, & I. Pesek (Eds.),AI andcognitive modelling for education(pp. 7–117). Springer.
Bhorat, Z. (2023). Digital despotism and aristotle on thedespotic master-slave relation.Philosophy & Technology,36(4), 77.
Buhusi, C. V., Oprisan, S. A., & Buhusi, M. (2023). The futureof integrative neuroscience: The big questions.Frontiers inIntegrative Neuroscience, 17, 1113238.
Downey, G. (1963). Aristotle and modern science.The ClassicalWorld, 57(2), 41–45.
Guttesen, K., & Kristjánsson, K. (2022). Cultivating virtuethrough poetry: An exploration of the characterologicalfeatures of poetry teaching.Ethics and Education, 17(3),277–293.
Kauffman, S. A., & Radin, D. (2023). Quantum aspects of thebrain-mind relationship: A hypothesis with supportingevidence.Biosystems, 223, 104820.
Krauss, A. (2023). Homo methodologicus and the origin of scienceand civilisation.Heliyon, 9(10), e20237.
Oghly, J. S. Z. (2023). Basic philosophical and methodologicalideas in the evolution of physical sciences.Gospodarkai Innowacje, 41,233–241.
Onwuliri, A. C. (2023). The scientific legacy and the role ofphilosophy in the contemporary society.InternationalJournal of Management Studies and Social ScienceResearch, 5(5), 84–93.
Ritz, B. (2023). Social mechanisms: Bridging critical realistand pragmatist approaches.Journal of Critical Realismy,22(3), 404–410.
Ramamurthy, K., Gumber, S., Abdelfattah, W.M. et al. Human AI trust modeling in cognitive systems via ensemble learning and advanced feature engineering. Discov Artif Intell 6, 366 (2026). https://doi.org/10.1007/s44163-026-01255-7
Philip, P. G. (2026). Artificial Intelligence–Driven Intelligent Project Management: an integrated framework for planning, scheduling and control in engineering and construction projects. Journal of Engineering and Artificial Intelligence, 02(02), 01–09. https://doi.org/10.64142/jeai.2.2.50
Chowdhury, W. A. (2025). Blockchain for Sustainable Supply Chain Management: Reducing Waste Through Transparent Resource Tracking. Journal of Procurement and Supply Chain Management, 4(2), 28–34. https://doi.org/10.58425/jpscm.v4i2.435
S. R. Lankala, M. R. Marri, A. Jain, G. G. Battu, U. Lakhina and S. Singla, "Optimal Financial Fraud Detection and Alerting Mechanism in Cloud Computing Using Deep Belief Network," 2025 International Conference on Emerging Trends in Networks and Computer Communications (ETNCC), Windhoek, Namibia, 2025, pp. 743-748, doi: 10.1109/ETNCC66224.2025.11299665.
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Copyright (c) 2026 Dr. Tomas Kazlauskas, Dr. Rasa Petrauskaite
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