%Aigaion2 BibTeX export von HES SO Valais Publications
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@UNPUBLISHED{,
    author = {Liffey, Amy and Calvaresi, Davide and Fanda, Lora and Schumann, Ren{\'{e}}},
  keywords = {Function approximation, Structured simulations, Systematic exploration},
     month = sep,
     title = {SimEx: The Art of Systematic Exploration},
      year = {2024},
  location = {PuK Workshop, W{\"{u}}rzburg},
  abstract = {Experimentation is essential in most research domains, serving as a good way to explore, test, and validate
a system’s behaviors. However, real-world experiments typically involve physical testing, observation, or
interaction with the systems, which can be dangerous, unethical, very costly, or even impossible in some cases.
Therefore, in-silicon experimentation (known as computer simulations) becomes beneficial and, in most cases,
cost-effective, allowing the simulation of even impossible scenarios. However, the exploration of the whole
environment and all possible scenarios often becomes computationally costly and trade-offs between accuracy
and computational run time has to be made. This paper proposes a systematic exploration tool that approximates
the system’s behavior with the aim of significantly improving the efficiency of simulation runs in simulation
studies. This tool holds the potential to revolutionize the way we approach simulation studies, making them
more efficient and productive. The approximation is done using partial functions, which have been approximated
based on obtained data points, i.e. results of simulation runs. We have presented an approach that allows for
obtaining sufficiently good enough functional approximations while keeping the overall number of simulation
runs as low as possible.}
}