Code Generation for Higher Inductive Types: A Study in Agda Metaprogramming

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Abstract

Higher inductive types are inductive types that include nontrivial higher-dimensional structure, represented as identifications that are not reflexivity. While work proceeds on type theories with a computational interpretation of univalence and higher inductive types, it is convenient to encode these structures in more traditional type theories with mature implementations. However, these encodings involve a great deal of error-prone additional syntax. We present a library that uses Agda’s metaprogramming facilities to automate this process, allowing higher inductive types to be specified with minimal additional syntax.

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Vivekanandan, P. (2019). Code Generation for Higher Inductive Types: A Study in Agda Metaprogramming. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 11285 LNCS, pp. 18–35). Springer Verlag. https://doi.org/10.1007/978-3-030-16202-3_2

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