Autonomous Multidisciplinary Decision Intelligence Platform Using Agentic AI, Knowledge Graphs, and Digital Twins

  • Authors

    • Seppo Linnainmaa Professor of Computer Science, University of Helsinki, Finland. Author
    • Arto Salomaa Professor of Computer Science, University of Turku, Finland. Author

    DOI:

    https://doi.org/10.67228/30715636/IJETMR-2025PI8U3R

    Published 05-03-2025

  • Agentic Artificial Intelligence, Autonomous Decision Intelligence, Knowledge Graphs, Digital Twins, Explainable Artificial Intelligence, Intelligent Agents, Semantic Reasoning, Reinforcement Learning, Cyber-Physical Systems, Enterprise Intelligence, Autonomous Systems, Multidisciplinary Decision Support

    Issue

    Vol. 8 No. 1 (2025)

    Section

    Articles

    How to Cite

    [1]
    S. Linnainmaa and A. Salomaa, “Autonomous Multidisciplinary Decision Intelligence Platform Using Agentic AI, Knowledge Graphs, and Digital Twins”, IJETMR, vol. 8, no. 1, pp. 01–18, May 2025, doi: 10.67228/30715636/IJETMR-2025PI8U3R.

  • Abstract

    This paper presents the Autonomous Multidisciplinary Decision Intelligence Platform (AMDIP), which integrates Agentic AI, Knowledge Graphs, and Digital Twin technologies to enable autonomous, explainable, and adaptive decision-making across multiple domains. By combining semantic reasoning, predictive simulation, continuous learning, and intelligent agent collaboration, the framework improves decision accuracy, operational efficiency, scalability, and resilience in dynamic cyber-physical environments. The proposed architecture offers a scalable and extensible foundation for next-generation enterprise intelligence, supporting complex multidisciplinary decision-making through real-time knowledge integration, autonomous optimization, and transparent AI-driven reasoning.

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