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Comparing the Complexity and Efficiency of Composable Modeling Techniques for Multi-Scale and Multi-Domain Complex System Modeling and Simulation Applications: A Probabilistic Analysis.
- Source :
- Systems; Mar2024, Vol. 12 Issue 3, p96, 27p
- Publication Year :
- 2024
-
Abstract
- Modeling and simulation of complex systems frequently requires capturing probabilistic dynamics across multiple scales and/or multiple domains. Cyber–physical, cyber–social, socio–technical, and cyber–physical–social systems are common examples. Modeling and simulating such systems via a single, all-encompassing model is often infeasible, and thus composable modeling techniques are sought. Co-simulation and closure modeling are two prevalent composable modeling techniques that divide a multi-scale/multi-domain system into sub-systems, use smaller component models to capture each sub-system, and coordinate data transfer between component models. While the two techniques have similar goals, differences in their methods lead to differences in the complexity and computational efficiency of a simulation model built using one technique or the other. This paper presents a probabilistic analysis of the complexity and computational efficiency of these two composable modeling techniques for multi-scale/multi-domain complex system modeling and simulation applications. The aim is twofold: to promote awareness of these two composable modeling approaches and to facilitate complex system model design by identifying circumstances that are amenable to either approach. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 20798954
- Volume :
- 12
- Issue :
- 3
- Database :
- Complementary Index
- Journal :
- Systems
- Publication Type :
- Academic Journal
- Accession number :
- 176386979
- Full Text :
- https://doi.org/10.3390/systems12030096