Corpus ID: 234742656

Automated Biodesign Engineering by Abductive Meta-Interpretive Learning

@article{Dai2021AutomatedBE,
  title={Automated Biodesign Engineering by Abductive Meta-Interpretive Learning},
  author={Wang-Zhou Dai and Liam Hallett and Stephen Muggleton and Geoff S. Baldwin},
  journal={ArXiv},
  year={2021},
  volume={abs/2105.07758}
}
The application of Artificial Intelligence (AI) to synthetic biology will provide the foundation for the creation of a high throughput automated platform for genetic design, in which a learning machine is used to iteratively optimise the system through a design-build-test-learn (DBTL) cycle. However, mainstream machine learning techniques represented by deep learning lacks the capability to represent relational knowledge and requires prodigious amounts of annotated training data. These… Expand

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