Encoding monomorphic and polymorphic types

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Abstract

Most automatic theorem provers are restricted to untyped logics, and existing translations from typed logics are bulky or unsound. Recent research proposes monotonicity as a means to remove some clutter. Here we pursue this approach systematically, analysing formally a variety of encodings that further improve on efficiency while retaining soundness and completeness. We extend the approach to rank-1 polymorphism and present alternative schemes that lighten the translation of polymorphic symbols based on the novel notion of "cover". The new encodings are implemented, and partly proved correct, in Isabelle/HOL. Our evaluation finds them vastly superior to previous schemes. © 2013 Springer-Verlag.

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APA

Blanchette, J. C., Böhme, S., Popescu, A., & Smallbone, N. (2013). Encoding monomorphic and polymorphic types. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 7795 LNCS, pp. 493–507). https://doi.org/10.1007/978-3-642-36742-7_34

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