{"id":148080,"date":"2005-09-01T00:00:00","date_gmt":"2005-09-01T00:00:00","guid":{"rendered":"https:\/\/www.microsoft.com\/en-us\/research\/msr-research-item\/qualified-types-for-mlf\/"},"modified":"2018-10-16T20:42:41","modified_gmt":"2018-10-17T03:42:41","slug":"qualified-types-for-mlf","status":"publish","type":"msr-research-item","link":"https:\/\/www.microsoft.com\/en-us\/research\/publication\/qualified-types-for-mlf\/","title":{"rendered":"Qualified types for MLF"},"content":{"rendered":"<div class=\"asset-content\">\n<p>ML-F is a type system that extends a functional language with impredicative higher-rank polymorphism. Type inference remains possible and only in some clearly defined situations, a local type annotation is required. Qualified types are a general concept that can accomodate a wide range of type systems extension, for example, type classes in Haskell. We show how the theory of qualified types can be used seamlessly with the higher-ranked impredicative polymorphism of ML-F. A core contribution of the paper is that we show a solution to the non-trivial problem of evidence translation in the presence of impredicative data types. (Note: one can experiment with MLF types with the experimental Morrow interpreter. However, this does not yet implement the qualified type extension discussed in the paper).<\/p>\n<\/div>\n<p><!-- .asset-content --><\/p>\n","protected":false},"excerpt":{"rendered":"<p>ML-F is a type system that extends a functional language with impredicative higher-rank polymorphism. Type inference remains possible and only in some clearly defined situations, a local type annotation is required. Qualified types are a general concept that can accomodate a wide range of type systems extension, for example, type classes in Haskell. We show [&hellip;]<\/p>\n","protected":false},"featured_media":0,"template":"","meta":{"msr-url-field":"","msr-podcast-episode":"","msrModifiedDate":"","msrModifiedDateEnabled":false,"ep_exclude_from_search":false,"_classifai_error":"","footnotes":""},"msr-content-type":[3],"msr-research-highlight":[],"research-area":[13563],"msr-publication-type":[193716],"msr-product-type":[],"msr-focus-area":[],"msr-platform":[],"msr-download-source":[],"msr-locale":[268875],"msr-post-option":[],"msr-field-of-study":[],"msr-conference":[],"msr-journal":[],"msr-impact-theme":[],"msr-pillar":[],"class_list":["post-148080","msr-research-item","type-msr-research-item","status-publish","hentry","msr-research-area-data-platform-analytics","msr-locale-en_us"],"msr_publishername":"ACM SIGPLAN","msr_edition":"The International Conference on Functional Programming 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