Corpus ID: 225070231

Graded Modal Dependent Type Theory

@article{Moon2020GradedMD,
  title={Graded Modal Dependent Type Theory},
  author={Benjamin Moon and Harley D. Eades and D. Orchard},
  journal={ArXiv},
  year={2020},
  volume={abs/2010.13163}
}

Benjamin Moon, Harley D. Eades, D. Orchard

Published 2020

Computer Science, Physics

ArXiv

Graded type theories are an emerging paradigm for augmenting the reasoning power of types with parameterizable, fine-grained analyses of program properties. There have been many such theories in recent years which equip a type theory with quantitative dataflow tracking, usually via a semiring-like structure which provides analysis on variables (often called ‘quantitative’ or ‘coeffect’ theories). We present Graded Modal Dependent Type Theory (Grtt for short), which equips a dependent type… CONTINUE READING

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