Facilitating automated conversion of scientific knowledge into scientific simulation models with the Machine Assisted Generation, Calibration, and Comparison (MAGCC) Framework

@article{Cockrell2022FacilitatingAC,
  title={Facilitating automated conversion of scientific knowledge into scientific simulation models with the Machine Assisted Generation, Calibration, and Comparison (MAGCC) Framework},
  author={Chase Cockrell and Scott Christley and Gary An},
  journal={ArXiv},
  year={2022},
  volume={abs/2204.10382},
  url={https://api.semanticscholar.org/CorpusID:248366460}
}
The MAGCC framework can be customized any scientific domain’s specific knowledgebase and existing mathematical/computational models, and future work will involve expanding the types of computational model representation that can be generated and integrating newly-developed code generating AI systems.
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