Using AI Planning to Automate the Performance Analysis of Simulators

Ewald, Roland (2014) Using AI Planning to Automate the Performance Analysis of Simulators. In: 7th International ICST Conference on Simulation Tools and Techniques (SIMUTools 2014), 17-19 Mar 2014, Lisbon, Portugal. Proceedings, published by Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering (ICST), Brussels, Belgium, pp. 195-200.

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Official URL: https://dl.acm.org/citation.cfm?id=2643127

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.

Item Type: Conference or Workshop Item (Paper)
Additional Information: doi:10.4108/icst.simutools.2014.254635
Projects: ALeSIA