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|Title:||Type processing by constraint reasoning|
|Source:||Stuckey, P.J.,Sulzmann, M.,Wazny, J. (2006). Type processing by constraint reasoning. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 4279 LNCS : 1-25. ScholarBank@NUS Repository.|
|Abstract:||Herbrand constraint solving or unification has long been understood as an efficient mechanism for type checking and inference for programs using Hindley/Milner types. If we step back from the particular solving mechanisms used for Hindley/Milner types, and understand type operations in terms of constraints we not only give a basis for handling Hindley/Milner extensions, but also gain insight into type reasoning even on pure Hindley/Milner types, particularly for type errors. In this paper we consider typing problems as constraint problems and show which constraint algorithms are required to support various typing questions. We use a light weight constraint reasoning formalism, Constraint Handling Rules, to generate suitable algorithms for many popular extensions to Hindley/Milner types. The algorithms we discuss are all implemented as part of the freely available Chameleon system. © Springer-Verlag Berlin Heidelberg 2006.|
|Source Title:||Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)|
|Appears in Collections:||Staff Publications|
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