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An Active Learning Method for the Comparison of Agent-based Models

We develop a methodology for comparing two or more agent-based models that are developed for the same domain, but may differ in the particular data sets (e.g., geographical regions) to which they are applied, and in the structure of the model. Our approach is to learn a response surface in the commo...

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Podrobná bibliografie
Vydáno v:Proc Int Joint Conf Auton Agents Multiagent Syst
Hlavní autoři: Thorve, Swapna, Hu, Zhihao, Lakkaraju, Kiran, Letchford, Joshua, Vullikanti, Anil, Marathe, Achla, Swarup, Samarth
Médium: Artigo
Jazyk:Inglês
Vydáno: 2020
Témata:
On-line přístup:https://ncbi.nlm.nih.gov/pmc/articles/PMC8302187/
https://ncbi.nlm.nih.gov/pubmed/34305483
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