Lesson plan
Dependent ML
Dependent ML (DML) is an experimental, multi-paradigm, general-purpose, high-level, functional programming language proposed by Hongwei Xi and Frank Pfenning. It is a dialect of the programming language ML. Dependent ML extends ML by a restricted notion of dependent types: types may be dependent on static indices of type Nat (natural numbers). Dependent ML employs a constraint theorem prover to decide a strong equational theory over the index expressions. DML's types are not dependent on runtime values - there is still a phase distinction between compilation and execution of the program. By restricting the generality of full dependent types type checking remains decidable, but type inference becomes undecidable. Dependent ML has been superseded by ATS and is no longer under active development.
Article summary
Dependent ML (DML) is an experimental, multi-paradigm, general-purpose, high-level, functional programming language proposed by Hongwei Xi and Frank Pfenning. It is a dialect of the programming language ML. Dependent ML extends ML by a restricted notion of dependent types: types may be dependent on static indices of type Nat (natural numbers). Dependent ML employs a constraint theorem prover to decide a strong equational theory over the index expressions. DML's types are not dependent on runtime values - there is still a phase distinction between compilation and execution of the program. By restricting the generality of full dependent types type checking remains decidable, but type inference becomes undecidable. Dependent ML has been superseded by ATS and is no longer under active development.
Key claims
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Discussion questions
- Summarise the article in your own words. Which single claim would you verify first, and why?
- Which claim in this article is most likely to be revised as the sources update? How would you check its current status?
- If two sources disagreed about one of these facts, what would you need in order to trust one over the other?
Bibliography
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Key claims and bibliography are generated from the same tracked claims and sources as the article page.