Search
Abstract
Modeling & Simulation (M&S) is used in many different fields and has made many significant contributions. As a field in its own right, there have been many advances in methodologies and technologies. In 2002 a workshop was held in Dagstuhl, Germany, to reflect on the grand challenges facing M&S. Ten years on, a series of M& S Grand Challenge activities are marking a decade of progress and are providing an opportunity to reflect and plan for the future. This second Grand Challenge Panel brings together a new set of experts from both industry and academia to reflect on M&S Grand Challenges. Themes include big simulation, coordinated modeling, large scale systems modeling, human behavioral modelling, composability, funding availability, cloud-based M&S, engineering replicability into computational models, democratization of M&S, multi-domain design, executing and targeting hardware platforms and education. It is hoped that these activities will provide inspiration to those already working in or with M&S and those just beginning their career.
Authors (6)
-
Simon J. E. Taylor
- Brunel University, Uxbridge, Middx, UK ..
-
Azam Khan
- Autodesk Research, Environment and Ergonomics Research Group, Toronto ..
-
Katherine L. Morse
- Johns Hopkins University, Laurel, MD ..
-
Andreas Tolk
- Old Dominion University, Norfolk, VA ..
-
Levent Yilmaz
- Auburn University, Auburn, AL ..
Cite as
Full text
full text is not available in portal
Keywords
Details
- Category:
- Conference activity
- Type:
- publikacja w wydawnictwie zbiorowym recenzowanym (także w materiałach konferencyjnych)
- Title of issue:
- TMS/DEVS 2013 Conference Proceedings: Symposium on Theory of Modeling and Simulation strony 1 - 9
- Language:
- English
- Publication year:
- 2013
- Bibliographic description:
- Taylor S., Khan A., Morse K., Tolk A., Yilmaz L., Zander J.: Grand Challenges on the Theory of Modeling and Simulation// TMS/DEVS 2013 Conference Proceedings: Symposium on Theory of Modeling and Simulation/ San Diego, CA, USA: SCS, 2013, s.1-9
- Verified by:
- Gdańsk University of Technology
seen 85 times
Recommended for you
Technical Engine for Democratization of Modeling, Simulations, and Predictions
- J. Zander,
- P. J. Mosterman
Neural Network-Based Sequential Global Sensitivity Analysis Algorithm
- Y. Liu,
- L. Leifsson,
- S. Kozieł
- + 1 authors