Buch, Englisch, 119 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 382 g
Buch, Englisch, 119 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 382 g
Reihe: Simulation Foundations, Methods and Applications
ISBN: 978-3-319-58543-7
Verlag: Springer
This illuminating text/reference presents a review of the key aspects of the modeling and simulation (M&S) life cycle, and examines the challenges of M&S in different application areas. The authoritative work offers valuable perspectives on the future of research in M&S, and its role in engineering complex systems.
Topics and features: reviews the challenges of M&S for urban infrastructure, healthcare delivery, automated vehicle manufacturing, deep space missions, and acquisitions enterprise; outlines research issues relating to conceptual modeling, covering the development of explicit and unambiguous models, communication and decision-making, and architecture and services; considers key computational challenges in the execution of simulation models, in order to best exploit emerging computing platforms and technologies; examines efforts to understand and manage uncertainty inherent in M&S processes, and how these can beunified under a consistent theoretical and philosophical foundation; discusses the reuse of models and simulations to accelerate the simulation model development process.
This thought-provoking volume offers important insights for all researchers involved in modeling and simulation across the full spectrum of disciplines and applications, defining a common research agenda to support the entire M&S research community.
Zielgruppe
Research
Autoren/Hrsg.
Fachgebiete
- Technische Wissenschaften Technik Allgemein Systems Engineering
- Interdisziplinäres Wissenschaften Wissenschaften: Forschung und Information Kybernetik, Systemtheorie, Komplexe Systeme
- Mathematik | Informatik Mathematik Mathematik Interdisziplinär Systemtheorie
- Technische Wissenschaften Technik Allgemein Konstruktionslehre und -technik
- Technische Wissenschaften Technik Allgemein Modellierung & Simulation
Weitere Infos & Material
Introduction.- Applications.- Conceptual Modeling.- Computational Challenges in Modeling and Simulation.- Uncertainty in M&S.- Model Reuse, Composition and Adaptation.