Document Type
Conference Paper
Publication Date
2016
Publication Title
Proceedings of the Modeling and Simulation of Complexity in Intelligent, Adaptive and Autonomous Systems 2016 (MSCIAAS 2016) and Space Simulation for Planetary Space Exploration (SPACE 2016)
Pages
50-56
Conference Name
SpringSim Modeling and Simulation of Complexity in Intelligent, Adaptive and Automous Systems 2016, Pasadena, California, April 3-6, 2016
Abstract
Simulation has become a pivotal tool for the design, analysis, and control of complex, intelligent, adaptive and autonomous systems and its components. However, due to the nature of these systems, traditional evaluation practices are often not sufficient. As the components follow adaptive rules, the cumulative events often exploit bifurcation enabling events, leading to clusters of solutions that do not follow the usual rules for standard distributed events. When using simulation for design, analysis, and control of such systems, the evaluation needs to be richer, applying bifurcation and cluster analysis to understand the distribution, applying factor analysis to understand the important factors for the necessary sensitivity analysis, and take not only point estimates for the solution and the sensitivity analysis into account, but contact a statistical stability analysis. The full exploitation of gaining numerical insights into the dynamic behavior and its deviations is needed. This paper introduces the pitfalls and recommends applicable methods and heuristics.
Original Publication Citation
Tolk, A. (2016). Stability and sensitivity measures for solutions in complex, intelligent, adaptive and autonomous systems. Paper presented at the Proceedings of the Modeling and Simulation of Complexity in Intelligent, Adaptive and Autonomous Systems 2016 (MSCIAAS 2016) and Space Simulation for Planetary Space Exploration (SPACE 2016), Pasadena, California, April 3-6, 2016. https://dl.acm.org/citation.cfm?id=2962671
ORCID
0000-0002-4201-8757 (Tolk)
Repository Citation
Tolk, Andreas, "Stability and Sensitivity Measures for Solutions in Complex, Intelligent, Adaptive and Autonomous Systems" (2016). Computational Modeling & Simulation Engineering Faculty Publications. 57.
https://digitalcommons.odu.edu/msve_fac_pubs/57
Comments
© 2016 Society for Modeling and Simulation International.
Included with the kind written permission of the publisher.