Skip to content. | Skip to navigation

Personal tools
Sections

Roland Ewald (2014)

Using AI Planning to Automate the Performance Analysis of Simulators

In: Proceedings of the 7th International ICST Conference on Simulation Tools and Techniques (SIMUTools), ICST.

 

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.

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.

Document Actions