Buch, Englisch, 826 Seiten, Format (B × H): 155 mm x 235 mm
The Proceedings of the 2025 Conference on Systems Engineering Research
Buch, Englisch, 826 Seiten, Format (B × H): 155 mm x 235 mm
Reihe: Conference on Systems Engineering Research Series
ISBN: 978-3-032-12308-4
Verlag: Springer Nature Switzerland AG
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.
Fachgebiete
- Technische Wissenschaften Elektronik | Nachrichtentechnik Nachrichten- und Kommunikationstechnik Regelungstechnik
- Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz
- Interdisziplinäres Wissenschaften Wissenschaften: Forschung und Information Kybernetik, Systemtheorie, Komplexe Systeme
- Technische Wissenschaften Elektronik | Nachrichtentechnik Elektronik
Weitere Infos & Material
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.
