Research Article
Using AI Planning to Automate the Performance Analysis of Simulators
@INPROCEEDINGS{10.4108/icst.simutools.2014.254635, author={Roland Ewald}, title={Using AI Planning to Automate the Performance Analysis of Simulators}, proceedings={Seventh International Conference on Simulation Tools and Techniques}, publisher={ICST}, proceedings_a={SIMUTOOLS}, year={2014}, month={8}, keywords={performance analysis experiments planning simulation}, doi={10.4108/icst.simutools.2014.254635} }
- Roland Ewald
Year: 2014
Using AI Planning to Automate the Performance Analysis of Simulators
SIMUTOOLS
ICST
DOI: 10.4108/icst.simutools.2014.254635
Abstract
Analyzing simulation algorithm performance is cumbersome: execute some runs, observe a performance metric, and analyze the results. Often, the results motivate follow-up experiments, which in turn may lead to additional experiments, and so on. This time-consuming and error-prone process can be automated with planning approaches from artificial intelligence, making simulator performance analysis more convenient and rigorous. This paper introduces Alesia, a prototypical system for automatic simulator performance analysis. It is independent of any specific simulation system and realizes a hypothesis-driven approach to evaluate performance.
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