Madni / Verma / Sievers Augmented Intelligence in Systems Engineering and Engineered Systems

The Proceedings of the 2025 Conference on Systems Engineering Research
Erscheinungsjahr 2026
ISBN: 978-3-032-12309-1
Verlag: Springer International Publishing
Format: PDF
Kopierschutz: 1 - PDF Watermark

E-Book, Englisch, 826 Seiten

Reihe: Engineering (R0)

This International Conference on Systems Engineering Research, CSER 2025, showcases how Augmented Intelligence is beginning to play an increasingly important role in both systems engineering and engineered systems. The volume presents the latest research in augmented intelligence and its role in accelerating systems engineering processes and enhancing the performance of human-machine systems. It contains a compendium of articles that systems engineering and AI professionals will find invaluable in understanding how AI in the role of augmenting human intelligence can dramatically enhance the performance of human-AI teams. Researchers, educators, practicing engineers, and engineering students will find this book informative and timely given recent advances in generative AI and systems engineering.

Zielgruppe

Research

Autoren/Hrsg.

Madni, Azad M.

Verma, Dinesh

Sievers, Michael

Erwin, Daniel

Wheaton, Marilee

Ordoukhanian, Edwin

Inhaltsverzeichnis

State of Model Based Systems Engineering Model Governance.- Factors of Verification Complexity: A Theoretical Exploration.- Assessing Modularity:  Putting models to work in model-based systems engineering.- Why systems engineering skills are critical for successful leadership of large complex projects.- Human-AI Teaming Focus for Transplant Surgeon Fuzzy Associative Memory (TSFAM) Model:  Capturing the Transplant Surgeon Perspective.- Graph-Based Digital Engineering Ontology for Mission Design and Execution.- Characterizing the micro-interactions that drive Human-AI collaboration: insights from the design process.- Integrating Large Language Models with Enterprise Architecture for Enhanced Information Retrieval about System Engineering.