Interpreting types as abstract values [The Abstract of the lecture notes] We expound a view of type checking as evaluation with `abstract values'. Whereas dynamic semantics, evaluation, deals with (dynamic) values like 0, 1, etc., static semantics, type checking, deals with approximations like int. A type system is sound if it correctly approximates the dynamic behavior and predicts its outcome: if the static semantics predicts that a term has the type int, the dynamic evaluation of the term, if it terminates, will yield an integer. As object language, we use simply-typed and let-polymorphic lambda calculi with integers and integer operations as constants. We use Haskell as a metalanguage in which to write evaluators, type checkers, type reconstructors and inferencers for the object language.
In denotational semantics and functional programming, the terms monad morphism, monad layering, monad constructor, and monad transformer have by now accumulated 20 years of twisted history. The exchange between Eric Kidd and sigfpe about the probability monad prompted me to investigate this history
Generalising Monoids The word 'monad' is derived from the word 'monoid'. The explanation usually given is that there is an analogy between monoids and monads. On the surface, this seems a bit unlikely. The join operation in a monad is supposed to correspond to the binary operator in the monoid, but join is a completely different kind of thing, certainly not a binary operator in any usual sense. I'm going to make this analogy precise so that it's clear that both monoids and monads are examples of the same construction. In fact, I'm going to write some Haskell code to define monoids and monads in almost exactly the same way. I was surprised to find I could do this because instances of Haskell's Monoid and Monad aren't even the same kind of thing (where I'm using 'kind' in its technical sense). But it can be done.
Syntax extension for Monads in Ocaml Jacques Carette, Lydia E. van Dijk and Oleg Kiselyov This Camlp4 extension provides some syntactic sugar to beautify monadic expressions. Example: A simple but realistic example of the use of a list monad looks like this bind [1; 2; 3] (fun a -> bind [3; 4; 5] (fun b -> return (a + b))) where we assume the appropriate definitions of the functions "bind" and "return". With the help of "pa_monad" this can be written as perform a <-- [1; 2; 3]; b <-- [3; 4; 5]; return (a + b) which is much clearer and thus easier to understand and maintain. By the way, the expression evaluates to [4; 5; 6; 5; 6; 7; 6; 7; 8] the sum of each pair of values of the input list
A continuation-based, backtracking, logic programming monad. An adaptation of the two-continuation implementation found in the paper Backtracking, Interleaving, and Terminating Monad Transformers available here: http://okmij.org/ Control.Monad.Logic.Class
Suppose someone stole all the monads but one, which monad would you want it to be? If you're a Haskell programmer you wouldn't be too bothered, you could just roll your own monads using nothing more than functions. But suppose someone stole do-notation leaving you with a version that only supported one type of monad. Which one would you choose? Rolling your own Haskell syntax is hard so you really want to choose wisely. Is there a universal monad that encompasses the functionality of all other monads? About a year ago I must have skimmed this post because the line "the continuation monad is in some sense the mother of all monads" became stuck in my head. So maybe Cont is the monad we should choose. This post is my investigation of why exactly it's the best choice. Along the way I'll also try to give some insight into how you can make practical use the continuation monad.
Comonads are an abstraction from category theory dualing many qualities of Monads. They are conceptually much simpler than arrows but seem to offer a solution to some problems not easily solved by monads. The ideas presented here are not novel except for the comonadic combinators for a nicer syntax. Typeclass Combinators Reader State Stream Writer Links
E. Augurusa, D. Braga, A. Campi, und S. Ceri. SAC '03: Proceedings of the 2003 ACM symposium on Applied computing
, Seite 1163--1167. New York, NY, USA, ACM, (2003)