| Autor: |
Kon Mouzakis, Martin Wong, Dion Grieger, Luis Torres, Rajesh Vasa, Antonio Giardina, Marco Tamassia |
| Rok vydání: |
2021 |
| Předmět: |
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| Zdroj: |
Lecture Notes in Management and Industrial Engineering ISBN: 9783030601348 |
| DOI: |
10.1007/978-3-030-60135-5_21 |
| Popis: |
Analysis of output data from closed-loop combat simulations can provide insights into the relationships between model inputs and outputs. However, analyses that only consider end-of-run output data may not be sufficient to explain why those relationships exist. In the case of stochastic models, where multiple replications of the same scenario are conducted, the presence of outliers and multi-modal results also needs to be accounted for. In this paper, we use a military case study to explore a range of techniques to interrogate the intra-run event data (i.e. trace logs) generated by a combat simulation in order to help address these two issues. Cumulative event plots and geo-spatial visualization techniques which also incorporate the temporal aspects of the simulation appear best suited to explain the presence of outlier replications and multi-modal results. Exploratory work using hierarchical clustering techniques and temporal decision trees provide a promising step towards better explaining causal events within the combat simulation data. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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