Why Trust a Simulation? Models, Parameters, and Robustness in Simulation-Infected Experiments
Bibliographic Data
| ID | 8399665 |
|---|---|
| Authors | Florian J Boge (0000-0002-1030-3393, University of Wuppertal, corresponding author) |
| Year | 2024 |
| Volume | 75 |
| Issue | 4 |
| Pages | 843-870 |
| Publication date | 2024-12-01 |
| Peer Reviewed | Yes |
| Open Access | No |
| Type | ARTICLE |
| Venue | The British Journal for the Philosophy of Science (JOURNAL) |
| Journal identifiers | ISSN: 0007-0882 • E-ISSN: 1464-3537 |
| Publisher | University of Chicago Press (PUBLISHER • US) |
| DOI | 10.1086/716542 |
| OpenAlex | W3186870693 |
| Language | EN |
| Citations received | 8 |
| References cited | 52 |
Computer simulations are nowadays often directly involved in the generation of experimental results. Given this dependency of experiments on computer simulations, that of simulations on models, and that of the models on free parameters, how do researchers establish trust in their experimental results? Using high energy physics (HEP) as a case study, I will identify three different types of robustness that I call conceptual, methodological, and parametric robustness, and show how they can sanction this trust. However, as I will also show, simulation models in HEP themselves fail to exhibit a type of robustness I call inverse parametric robustness. This combination of robustness and failures thereof is best understood by differentiating different epistemic capacities of simulations and different senses of trust: Trusting simulations in their capacity to facilitate credible experimental results can mean accepting them as means for generating belief in these results, while this need not imply believing the models themselves in their capacity to represent an underlying reality
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| Unique citing works | 8 |
|---|---|
| Citations per year | 2,67 |
| Citation span | 2023 - 2025 (3) |
| Citation velocity | recent |
| Highly cited | No |
| Citation types | Neutral: 8 |