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Fujimoto / Bock / Chen

Research Challenges in Modeling and Simulation for Engineering Complex Systems

Medium: Buch
ISBN: 978-3-319-58543-7
Verlag: Springer
Erscheinungstermin: 01.09.2017
Lieferfrist: bis zu 10 Tage

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.


Produkteigenschaften


  • Artikelnummer: 9783319585437
  • Medium: Buch
  • ISBN: 978-3-319-58543-7
  • Verlag: Springer
  • Erscheinungstermin: 01.09.2017
  • Sprache(n): Englisch
  • Auflage: 1. Auflage 2017
  • Serie: Simulation Foundations, Methods and Applications
  • Produktform: Gebunden
  • Gewicht: 382 g
  • Seiten: 119
  • Format (B x H): 155 x 235 mm
  • Ausgabetyp: Kein, Unbekannt
Autoren/Hrsg.

Herausgeber

Introduction.- Applications.- Conceptual Modeling.- Computational Challenges in Modeling and Simulation.- Uncertainty in M&S.- Model Reuse, Composition and Adaptation.