X-Git-Url: http://lambda.jimpryor.net/git/gitweb.cgi?p=lambda.git;a=blobdiff_plain;f=week7.mdwn;h=351a6d953fac41901c96823c8bf31829b51e6733;hp=84a2af55dec222f8d8e21eb9bb51c4ea38667508;hb=53be231576f6b0d8b6452fceac662158eea1d710;hpb=a020d7de4c5b17ce19c0efbaf6760799a899cc4d diff --git a/week7.mdwn b/week7.mdwn index 84a2af55..351a6d95 100644 --- a/week7.mdwn +++ b/week7.mdwn @@ -1,17 +1,18 @@ [[!toc]] + Monads ------ Start by (re)reading the discussion of monads in the lecture notes for -week 6 [Towards Monads](http://lambda.jimpryor.net//week6/#index4h2). +week 6 [[Towards Monads]]. In those notes, we saw a way to separate thinking about error conditions (such as trying to divide by zero) from thinking about normal arithmetic computations. We did this by making use of the -option monad: in each place where we had something of type `int`, we +`option` type: in each place where we had something of type `int`, we put instead something of type `int option`, which is a sum type -consisting either of just an integer, or else some special value which -we could interpret as signaling that something had gone wrong. +consisting either of one choice with an `int` payload, or else a `None` +choice which we interpret as signaling that something has gone wrong. The goal was to make normal computing as convenient as possible: when we're adding or multiplying, we don't have to worry about generating @@ -29,8 +30,8 @@ building a simple account of presupposition projection, we would have to do several things. First, we would have to make use of the polymorphism of the `option` type. In the arithmetic example, we only made use of `int option`s, but when we're composing natural language -expression meanings, we'll need to use types like `N int`, `Det Int`, -`VP int`, and so on. But that works automatically, because we can use +expression meanings, we'll need to use types like `N option`, `Det option`, +`VP option`, and so on. But that works automatically, because we can use any type for the `'a` in `'a option`. Ultimately, we'd want to have a theory of accommodation, and a theory of the situations in which material within the sentence can satisfy presuppositions for other @@ -38,167 +39,373 @@ material that otherwise would trigger a presupposition violation; but, not surprisingly, these refinements will require some more sophisticated techniques than the super-simple option monad.] -So what exactly is a monad? As usual, we're not going to be pedantic -about it, but for our purposes, we can consider a monad to be a system +So what exactly is a monad? We can consider a monad to be a system that provides at least the following three elements: -* A way to build a complex type from some basic type. In the division - example, the polymorphism of the `'a option` type provides a way of - building an option out of any other type of object. People often - use a container metaphor: if `x` has type `int option`, then `x` is - a box that (may) contain an integer. +* A complex type that's built around some more basic type. Usually + the complex type will be polymorphic, and so can apply to different basic types. + In our division example, the polymorphism of the `'a option` type + provides a way of building an option out of any other type of object. + People often use a container metaphor: if `u` has type `int option`, + then `u` is a box that (may) contain an integer. + + type 'a option = None | Some of 'a;; + +* A way to turn an ordinary value into a monadic value. In OCaml, we + did this for any integer `x` by mapping it to + the option `Some x`. In the general case, this operation is + known as `unit` or `return.` Both of those names are terrible. This + operation is only very loosely connected to the `unit` type we were + discussing earlier (whose value is written `()`). It's also only + very loosely connected to the "return" keyword in many other + programming languages like C. But these are the names that the literature + uses. + + The unit/return operation is a way of lifting an ordinary object into + the monadic box you've defined, in the simplest way possible. You can think + of the singleton function as an example: it takes an ordinary object + and returns a set containing that object. In the example we've been + considering: + + let unit x = Some x;; + val unit : 'a -> 'a option = + + So `unit` is a way to put something inside of a monadic box. It's crucial + to the usefulness of monads that there will be monadic boxes that + aren't the result of that operation. In the option/maybe monad, for + instance, there's also the empty box `None`. In another (whimsical) + example, you might have, in addition to boxes merely containing integers, + special boxes that contain integers and also sing a song when they're opened. + + The unit/return operation will always be the simplest, conceptually + most straightforward way to lift an ordinary value into a monadic value + of the monadic type in question. + +* Thirdly, an operation that's often called `bind`. This is another + unfortunate name: this operation is only very loosely connected to + what linguists usually mean by "binding." In our option/maybe monad, the + bind operation is: + + let bind u f = match u with None -> None | Some x -> f x;; + val bind : 'a option -> ('a -> 'b option) -> 'b option = + + Note the type: `bind` takes two arguments: first, a monadic box + (in this case, an `'a option`); and second, a function from + ordinary objects to monadic boxes. `bind` then returns a monadic + value: in this case, a `'b option` (you can start with, e.g., `int option`s + and end with `bool option`s). + + Intuitively, the interpretation of what `bind` does is this: + the first argument is a monadic value `u`, which + evaluates to a box that (maybe) contains some ordinary value, call it `x`. + Then the second argument uses `x` to compute a new monadic + value. Conceptually, then, we have + + let bind u f = (let x = unbox u in f x);; + + The guts of the definition of the `bind` operation amount to + specifying how to unbox the monadic value `u`. In the `bind` + opertor for the option monad, we unboxed the monadic value by + matching it with the pattern `Some x`---whenever `u` + happened to be a box containing an integer `x`, this allowed us to + get our hands on that `x` and feed it to `f`. + + If the monadic box didn't contain any ordinary value, + we instead pass through the empty box unaltered. + + In a more complicated case, like our whimsical "singing box" example + from before, if the monadic value happened to be a singing box + containing an integer `x`, then the `bind` operation would probably + be defined so as to make sure that the result of `f x` was also + a singing box. If `f` also wanted to insert a song, you'd have to decide + whether both songs would be carried through, or only one of them. + + There is no single `bind` function that dictates how this must go. + For each new monadic type, this has to be worked out in an + useful way. + +So the "option/maybe monad" consists of the polymorphic `option` type, the +`unit`/return function, and the `bind` function. With the option monad, we can +think of the "safe division" operation: + + # let safe_divide num den = if 0 = den then None else Some (num/den);; + val safe_divide : int -> int -> int option = - `type 'a option = None | Some of 'a;;` +as basically a function from two integers to an integer, except with +this little bit of option plumbing on the side. -* A way to turn an ordinary value into a monadic value. In Ocaml, we - did this for any integer `n` by mapping it to - the option `Some n`. To be official, we can define a function - called unit: +A note on notation: Haskell uses the infix operator `>>=` to stand +for `bind`. Chris really hates that symbol. Following Wadler, he prefers to +use an infix five-pointed star ⋆, or on a keyboard, `*`. Jim on the other hand +thinks `>>=` is what the literature uses and students won't be able to +avoid it. Moreover, although ⋆ is OK (though not a convention that's been picked up), overloading the multiplication symbol invites its own confusion +and Jim feels very uneasy about that. If not `>>=` then we should use +some other unfamiliar infix symbol (but `>>=` already is such...) - `let unit x = Some x;;` +In any case, the course leaders will work this out somehow. In the meantime, +as you read around, wherever you see `u >>= f`, that means `bind u f`. Also, +if you ever see this notation: - `val unit : 'a -> 'a option = ` + do + x <- u + f x - So `unit` is a way to put something inside of a box. +That's a Haskell shorthand for `u >>= (\x -> f x)`, that is, `bind u f`. +Similarly: -* A bind operation (note the type): + do + x <- u + y <- v + f x y - `let bind m f = match m with None -> None | Some n -> f n;;` +is shorthand for `u >>= (\x -> v >>= (\y -> f x y))`, that is, `bind u (fun x +-> bind v (fun y -> f x y))`. Those who did last week's homework may recognize +this. - `val bind : 'a option -> ('a -> 'b option) -> 'b option = ` +(Note that the above "do" notation comes from Haskell. We're mentioning it here +because you're likely to see it when reading about monads. It won't work in +OCaml. In fact, the `<-` symbol already means something different in OCaml, +having to do with mutable record fields. We'll be discussing mutation someday +soon.) - `bind` takes two arguments (a monadic object and a function from - ordinary objects to monadic objects), and returns a monadic - object. +As we proceed, we'll be seeing a variety of other monad systems. For example, another monad is the list monad. Here the monadic type is: - Intuitively, the interpretation of what `bind` does is like this: - the first argument computes a monadic object m, which will - evaluate to a box containing some ordinary value, call it `x`. - Then the second argument uses `x` to compute a new monadic - value. Conceptually, then, we have + # type 'a list - `let bind m f = (let x = unwrap m in f x);;` +The `unit`/return operation is: - The guts of the definition of the `bind` operation amount to - specifying how to unwrap the monadic object `m`. In the bind - opertor for the option monad, we unwraped the option monad by - matching the monadic object `m` with `Some n`--whenever `m` - happend to be a box containing an integer `n`, this allowed us to - get our hands on that `n` and feed it to `f`. + # let unit x = [x];; + val unit : 'a -> 'a list = -So the "option monad" consists of the polymorphic option type, the -unit function, and the bind function. With the option monad, we can -think of the "safe division" operation +That is, the simplest way to lift an `'a` into an `'a list` is just to make a +singleton list of that `'a`. Finally, the `bind` operation is: -
-# let divide num den = if den = 0 then None else Some (num/den);;
-val divide : int -> int -> int option = 
-
+ # let bind u f = List.concat (List.map f u);; + val bind : 'a list -> ('a -> 'b list) -> 'b list = + +What's going on here? Well, consider `List.map f u` first. This goes through all +the members of the list `u`. There may be just a single member, if `u = unit x` +for some `x`. Or on the other hand, there may be no members, or many members. In +any case, we go through them in turn and feed them to `f`. Anything that gets fed +to `f` will be an `'a`. `f` takes those values, and for each one, returns a `'b list`. +For example, it might return a list of all that value's divisors. Then we'll +have a bunch of `'b list`s. The surrounding `List.concat ( )` converts that bunch +of `'b list`s into a single `'b list`: -as basically a function from two integers to an integer, except with -this little bit of option frill, or option plumbing, on the side. + # List.concat [[1]; [1;2]; [1;3]; [1;2;4]] + - : int list = [1; 1; 2; 1; 3; 1; 2; 4] -A note on notation: Haskell uses the infix operator `>>=` to stand -for `bind`. I really hate that symbol. Following Wadler, I prefer to -infix five-pointed star, or on a keyboard, `*`. +So now we've seen two monads: the option/maybe monad, and the list monad. For any +monadic system, there has to be a specification of the complex monad type, +which will be parameterized on some simpler type `'a`, and the `unit`/return +operation, and the `bind` operation. These will be different for different +monadic systems. + +Many monadic systems will also define special-purpose operations that only make +sense for that system. + +Although the `unit` and `bind` operation are defined differently for different +monadic systems, there are some general rules they always have to follow. -The Monad laws +The Monad Laws -------------- Just like good robots, monads must obey three laws designed to prevent them from hurting the people that use them or themselves. -* Left identity: unit is a left identity for the bind operation. - That is, for all `f:'a -> 'a M`, where `'a M` is a monadic - object, we have `(unit x) * f == f x`. For instance, `unit` is a - function of type `'a -> 'a option`, so we have +* **Left identity: unit is a left identity for the bind operation.** + That is, for all `f:'a -> 'a m`, where `'a m` is a monadic + type, we have `(unit x) * f == f x`. For instance, `unit` is itself + a function of type `'a -> 'a m`, so we can use it for `f`: -
-# let ( * ) m f = match m with None -> None | Some n -> f n;;
-val ( * ) : 'a option -> ('a -> 'b option) -> 'b option = 
-# let unit x = Some x;;
-val unit : 'a -> 'a option = 
-
-# unit 2;;
-- : int option = Some 2
-# unit 2 * unit;;
-- : int option = Some 2
-
-# divide 6 2;;
-- : int option = Some 3
-# unit 2 * divide 6;;
-- : int option = Some 3
-
-# divide 6 0;;
-- : int option = None
-# unit 0 * divide 6;;
-- : int option = None
-
+ # let ( * ) u f = match u with None -> None | Some x -> f x;; + val ( * ) : 'a option -> ('a -> 'b option) -> 'b option = + # let unit x = Some x;; + val unit : 'a -> 'a option = + + # unit 2;; + - : int option = Some 2 + # unit 2 * unit;; + - : int option = Some 2 -The parentheses is the magic for telling Ocaml that the + # divide 6 2;; + - : int option = Some 3 + # unit 2 * divide 6;; + - : int option = Some 3 + + # divide 6 0;; + - : int option = None + # unit 0 * divide 6;; + - : int option = None + +The parentheses is the magic for telling OCaml that the function to be defined (in this case, the name of the function is `*`, pronounced "bind") is an infix operator, so we write -`m * f` or `( * ) m f` instead of `* m f`. +`u * f` or `( * ) u f` instead of `* u f`. -* Associativity: bind obeys a kind of associativity, like this: +* **Associativity: bind obeys a kind of associativity**. Like this: - `(m * f) * g == m * (fun x -> f x * g)` + (u * f) * g == u * (fun x -> f x * g) - If you don't understand why the lambda form is necessary (the "fun - x" part), you need to look again at the type of bind. + If you don't understand why the lambda form is necessary (the "fun + x" part), you need to look again at the type of `bind`. - Some examples of associativity in the option monad: + Some examples of associativity in the option monad: -
-# Some 3 * unit * unit;; 
-- : int option = Some 3
-# Some 3 * (fun x -> unit x * unit);;
-- : int option = Some 3
-
-# Some 3 * divide 6 * divide 2;;
-- : int option = Some 1
-# Some 3 * (fun x -> divide 6 x * divide 2);;
-- : int option = Some 1
-
-# Some 3 * divide 2 * divide 6;;
-- : int option = None
-# Some 3 * (fun x -> divide 2 x * divide 6);;
-- : int option = None
-
+ # Some 3 * unit * unit;; + - : int option = Some 3 + # Some 3 * (fun x -> unit x * unit);; + - : int option = Some 3 + + # Some 3 * divide 6 * divide 2;; + - : int option = Some 1 + # Some 3 * (fun x -> divide 6 x * divide 2);; + - : int option = Some 1 + + # Some 3 * divide 2 * divide 6;; + - : int option = None + # Some 3 * (fun x -> divide 2 x * divide 6);; + - : int option = None Of course, associativity must hold for arbitrary functions of -type `'a -> M 'a`, where `M` is the monad type. It's easy to -convince yourself that the bind operation for the option monad -obeys associativity by dividing the inputs into cases: if `m` +type `'a -> 'a m`, where `m` is the monad type. It's easy to +convince yourself that the `bind` operation for the option monad +obeys associativity by dividing the inputs into cases: if `u` matches `None`, both computations will result in `None`; if -`m` matches `Some n`, and `f n` evalutes to `None`, then both +`u` matches `Some x`, and `f x` evalutes to `None`, then both computations will again result in `None`; and if the value of -`f n` matches `Some r`, then both computations will evaluate -to `g r`. +`f x` matches `Some y`, then both computations will evaluate +to `g y`. -* Right identity: unit is a right identity for bind. That is, - `m * unit == m` for all monad objects `m`. For instance, +* **Right identity: unit is a right identity for bind.** That is, + `u * unit == u` for all monad objects `u`. For instance, + + # Some 3 * unit;; + - : int option = Some 3 + # None * unit;; + - : 'a option = None -
-# Some 3 * unit;;
-- : int option = Some 3
-# None * unit;;
-- : 'a option = None
-
-Now, if you studied algebra, you'll remember that a *monoid* is an +More details about monads +------------------------- + +If you studied algebra, you'll remember that a *monoid* is an associative operation with a left and right identity. For instance, the natural numbers along with multiplication form a monoid with 1 serving as the left and right identity. That is, temporarily using -`*` to mean arithmetic multiplication, `1 * n == n == n * 1` for all -`n`, and `(a * b) * c == a * (b * c)` for all `a`, `b`, and `c`. As +`*` to mean arithmetic multiplication, `1 * u == u == u * 1` for all +`u`, and `(u * v) * w == u * (v * w)` for all `u`, `v`, and `w`. As presented here, a monad is not exactly a monoid, because (unlike the arguments of a monoid operation) the two arguments of the bind are of -different types. But if we generalize bind so that both arguments are -of type `'a -> M 'a`, then we get plain identity laws and -associativity laws, and the monad laws are exactly like the monoid -laws (see , near the bottom). +different types. But it's possible to make the connection between +monads and monoids much closer. This is discussed in [Monads in Category +Theory](/advanced_notes/monads_in_category_theory). +See also . + +Here are some papers that introduced monads into functional programming: + +* [Eugenio Moggi, Notions of Computation and Monads](http://www.disi.unige.it/person/MoggiE/ftp/ic91.pdf): Information and Computation 93 (1). + +* [Philip Wadler. Monads for Functional Programming](http://homepages.inf.ed.ac.uk/wadler/papers/marktoberdorf/baastad.pdf): +in M. Broy, editor, *Marktoberdorf Summer School on Program Design Calculi*, Springer Verlag, NATO ASI Series F: Computer and systems sciences, Volume 118, August 1992. Also in J. Jeuring and E. Meijer, editors, *Advanced Functional Programming*, Springer Verlag, LNCS 925, 1995. Some errata fixed August 2001. + The use of monads to structure functional programs is described. Monads provide a convenient framework for simulating effects found in other languages, such as global state, exception handling, output, or non-determinism. Three case studies are looked at in detail: how monads ease the modification of a simple evaluator; how monads act as the basis of a datatype of arrays subject to in-place update; and how monads can be used to build parsers. + +* [Philip Wadler. The essence of functional programming](http://homepages.inf.ed.ac.uk/wadler/papers/essence/essence.ps): +invited talk, *19'th Symposium on Principles of Programming Languages*, ACM Press, Albuquerque, January 1992. + This paper explores the use monads to structure functional programs. No prior knowledge of monads or category theory is required. + Monads increase the ease with which programs may be modified. They can mimic the effect of impure features such as exceptions, state, and continuations; and also provide effects not easily achieved with such features. The types of a program reflect which effects occur. + The first section is an extended example of the use of monads. A simple interpreter is modified to support various extra features: error messages, state, output, and non-deterministic choice. The second section describes the relation between monads and continuation-passing style. The third section sketches how monads are used in a compiler for Haskell that is written in Haskell. + +There's a long list of monad tutorials on the [[Offsite Reading]] page. Skimming the titles makes me laugh. + +In the presentation we gave above---which follows the functional programming conventions---we took `unit`/return and `bind` as the primitive operations. From these a number of other general monad operations can be derived. It's also possible to take some of the others as primitive. The [Monads in Category +Theory](/advanced_notes/monads_in_category_theory) notes do so, for example. + +Here are some of the specifics. You don't have to master these; they're collected here for your reference. + +You may sometimes see: + + u >> v + +That just means: + + u >>= fun _ -> v + +that is: + + bind u (fun _ -> v) + +You could also do `bind u (fun x -> v)`; we use the `_` for the function argument to be explicit that that argument is never going to be used. + +The `lift` operation we asked you to define for last week's homework is a common operation. The second argument to `bind` converts `'a` values into `'b m` values---that is, into instances of the monadic type. What if we instead had a function that merely converts `'a` values into `'b` values, and we want to use it with our monadic type. Then we "lift" that function into an operation on the monad. For example: + + # let even x = (x mod 2 = 0);; + val g : int -> bool = + +`even` has the type `int -> bool`. Now what if we want to convert it into an operation on the option/maybe monad? + + # let lift g = fun u -> bind u (fun x -> Some (g x));; + val lift : ('a -> 'b) -> 'a option -> 'b option = + +`lift even` will now be a function from `int option`s to `bool option`s. We can +also define a lift operation for binary functions: + + # let lift2 g = fun u v -> bind u (fun x -> bind v (fun y -> Some (g x y)));; + val lift2 : ('a -> 'b -> 'c) -> 'a option -> 'b option -> 'c option = + +`lift (+)` will now be a function from `int option`s and `int option`s to `int option`s. This should look familiar to those who did the homework. + +The `lift` operation (just `lift`, not `lift2`) is sometimes also called the `map` operation. (In Haskell, they say `fmap` or `<$>`.) And indeed when we're working with the list monad, `lift f` is exactly `List.map f`! + +Wherever we have a well-defined monad, we can define a lift/map operation for that monad. The examples above used `Some (g x)` and so on; in the general case we'd use `unit (g x)`, using the specific `unit` operation for the monad we're working with. + +In general, any lift/map operation can be relied on to satisfy these laws: + + * lift id = id + * lift (compose f g) = compose (lift f) (lift g) + +where `id` is `fun x -> x` and `compose f g` is `fun x -> f (g x)`. If you think about the special case of the map operation on lists, this should make sense. `List.map id lst` should give you back `lst` again. And you'd expect these +two computations to give the same result: + + List.map (fun x -> f (g x)) lst + List.map f (List.map g lst) + +Another general monad operation is called `ap` in Haskell---short for "apply." (They also use `<*>`, but who can remember that?) This works like this: + + ap [f] [x; y] = [f x; f y] + ap (Some f) (Some x) = Some (f x) + +and so on. Here are the laws that any `ap` operation can be relied on to satisfy: + + ap (unit id) u = u + ap (ap (ap (return compose) u) v) w = ap u (ap v w) + ap (unit f) (unit x) = unit (f x) + ap u (unit x) = ap (unit (fun f -> f x)) u + +Another general monad operation is called `join`. This is the operation that takes you from an iterated monad to a single monad. Remember when we were explaining the `bind` operation for the list monad, there was a step where +we went from: + + [[1]; [1;2]; [1;3]; [1;2;4]] + +to: + + [1; 1; 2; 1; 3; 1; 2; 4] + +That is the `join` operation. + +All of these operations can be defined in terms of `bind` and `unit`; or alternatively, some of them can be taken as primitive and `bind` can be defined in terms of them. Here are various interdefinitions: + + lift f u = ap (unit f) u + lift2 f u v = ap (lift f u) v = ap (ap (unit f) u) v + ap u v = lift2 id u v + lift f u = u >>= compose unit f + lift f u = ap (unit f) u + join m2 = m2 >>= id + u >>= f = join (lift f u) + u >> v = u >>= (fun _ -> v) + u >> v = lift2 (fun _ -> id) u v + Monad outlook @@ -210,10 +417,22 @@ which will enable us to model mutation: variables whose values appear to change as the computation progresses. Later, we will study the Continuation monad. +In the meantime, we'll look at several linguistic applications for monads, based +on what's called the *reader monad*. + + +The reader monad +---------------- + +Introduce + +Heim and Kratzer's "Predicate Abstraction Rule" + + + The intensionality monad ------------------------ - -In the meantime, we'll see a linguistic application for monads: +... intensional function application. In Shan (2001) [Monads for natural language semantics](http://arxiv.org/abs/cs/0205026v1), Ken shows that making expressions sensitive to the world of evaluation is @@ -225,9 +444,9 @@ intensionality](http://parles.upf.es/glif/pub/sub11/individual/bena_wint.pdf), though without explicitly using monads. All of the code in the discussion below can be found here: [[intensionality-monad.ml]]. -To run it, download the file, start Ocaml, and say +To run it, download the file, start OCaml, and say - # #use "intensionality-monad.ml";; + # #use "intensionality-monad.ml";; Note the extra `#` attached to the directive `use`. @@ -283,24 +502,22 @@ as possible. So here's what we do: -In Ocaml, we'll use integers to model possible worlds: +In OCaml, we'll use integers to model possible worlds: - type s = int;; - type e = char;; - type t = bool;; + type s = int;; + type e = char;; + type t = bool;; Characters (characters in the computational sense, i.e., letters like `'a'` and `'b'`, not Kaplanian characters) will model individuals, and -Ocaml booleans will serve for truth values. +OCaml booleans will serve for truth values. -
-type 'a intension = s -> 'a;;
-let unit x (w:s) = x;;
+	type 'a intension = s -> 'a;;
+	let unit x (w:s) = x;;
 
-let ann = unit 'a';;
-let bill = unit 'b';;
-let cam = unit 'c';;
-
+ let ann = unit 'a';; + let bill = unit 'b';; + let cam = unit 'c';; In our monad, the intension of an extensional type `'a` is `s -> 'a`, a function from worlds to extensions. Our unit will be the constant @@ -313,18 +530,16 @@ as an argument. Let's test compliance with the left identity law: -
-# let bind m f (w:s) = f (m w) w;;
-val bind : (s -> 'a) -> ('a -> s -> 'b) -> s -> 'b = 
-# bind (unit 'a') unit 1;;
-- : char = 'a'
-
+ # let bind u f (w:s) = f (u w) w;; + val bind : (s -> 'a) -> ('a -> s -> 'b) -> s -> 'b = + # bind (unit 'a') unit 1;; + - : char = 'a' We'll assume that this and the other laws always hold. We now build up some extensional meanings: - let left w x = match (w,x) with (2,'c') -> false | _ -> true;; + let left w x = match (w,x) with (2,'c') -> false | _ -> true;; This function says that everyone always left, except for Cam in world 2 (i.e., `left 2 'c' == false`). @@ -333,31 +548,29 @@ Then the way to evaluate an extensional sentence is to determine the extension of the verb phrase, and then apply that extension to the extension of the subject: -
-let extapp fn arg w = fn w (arg w);;
+	let extapp fn arg w = fn w (arg w);;
 
-extapp left ann 1;;
-# - : bool = true
+	extapp left ann 1;;
+	# - : bool = true
 
-extapp left cam 2;;
-# - : bool = false
-
+ extapp left cam 2;; + # - : bool = false `extapp` stands for "extensional function application". So Ann left in world 1, but Cam didn't leave in world 2. A transitive predicate: - let saw w x y = (w < 2) && (y < x);; - extapp (extapp saw bill) ann 1;; (* true *) - extapp (extapp saw bill) ann 2;; (* false *) + let saw w x y = (w < 2) && (y < x);; + extapp (extapp saw bill) ann 1;; (* true *) + extapp (extapp saw bill) ann 2;; (* false *) In world 1, Ann saw Bill and Cam, and Bill saw Cam. No one saw anyone in world two. Good. Now for intensions: - let intapp fn arg w = fn w arg;; + let intapp fn arg w = fn w arg;; The only difference between intensional application and extensional application is that we don't feed the evaluation world to the argument. @@ -372,12 +585,10 @@ Just as we used bind to define a version of addition that interacted with the option monad, we now use bind to intensionalize an extensional verb: -
-let lift pred w arg = bind arg (fun x w -> pred w x) w;;
+	let lift pred w arg = bind arg (fun x w -> pred w x) w;;
 
-intapp (lift left) ann 1;; (* true: Ann still left in world 1 *)
-intapp (lift left) cam 2;; (* false: Cam still didn't leave in world 2 *)
-
+ intapp (lift left) ann 1;; (* true: Ann still left in world 1 *) + intapp (lift left) cam 2;; (* false: Cam still didn't leave in world 2 *) Because `bind` unwraps the intensionality of the argument, when the lifted "left" receives an individual concept (e.g., `unit 'a'`) as @@ -388,12 +599,10 @@ third meaning postulate.) Likewise for extensional transitive predicates like "saw": -
-let lift2 pred w arg1 arg2 = 
-  bind arg1 (fun x -> bind arg2 (fun y w -> pred w x y)) w;;
-intapp (intapp (lift2 saw) bill) ann 1;;  (* true: Ann saw Bill in world 1 *)
-intapp (intapp (lift2 saw) bill) ann 2;;  (* false: No one saw anyone in world 2 *)
-
+ let lift2 pred w arg1 arg2 = + bind arg1 (fun x -> bind arg2 (fun y w -> pred w x y)) w;; + intapp (intapp (lift2 saw) bill) ann 1;; (* true: Ann saw Bill in world 1 *) + intapp (intapp (lift2 saw) bill) ann 2;; (* false: No one saw anyone in world 2 *) Crucially, an intensional predicate does not use `bind` to consume its arguments. Attitude verbs like "thought" are intensional with respect @@ -401,22 +610,18 @@ to their sentential complement, but extensional with respect to their subject (as Montague noticed, almost all verbs in English are extensional with respect to their subject; a possible exception is "appear"): -
-let think (w:s) (p:s->t) (x:e) = 
-  match (x, p 2) with ('a', false) -> false | _ -> p w;;
-
+ let think (w:s) (p:s->t) (x:e) = + match (x, p 2) with ('a', false) -> false | _ -> p w;; Ann disbelieves any proposition that is false in world 2. Apparently, she firmly believes we're in world 2. Everyone else believes a proposition iff that proposition is true in the world of evaluation. -
-intapp (lift (intapp think
-                     (intapp (lift left)
-                             (unit 'b'))))
-       (unit 'a') 
-1;; (* true *)
-
+ intapp (lift (intapp think + (intapp (lift left) + (unit 'b')))) + (unit 'a') + 1;; (* true *) So in world 1, Ann thinks that Bill left (because in world 2, Bill did leave). @@ -424,13 +629,11 @@ The `lift` is there because "think Bill left" is extensional wrt its subject. The important bit is that "think" takes the intension of "Bill left" as its first argument. -
-intapp (lift (intapp think
-                     (intapp (lift left)
-                             (unit 'c'))))
-       (unit 'a') 
-1;; (* false *)
-
+ intapp (lift (intapp think + (intapp (lift left) + (unit 'c')))) + (unit 'a') + 1;; (* false *) But even in world 1, Ann doesn't believe that Cam left (even though he did: `intapp (lift left) cam 1 == true`). Ann's thoughts are hung up @@ -445,8 +648,8 @@ on what is happening in world 2, where Cam doesn't leave. Finally, note that within an intensional grammar, extensional funtion application is essentially just bind: -
-# let swap f x y = f y x;;
-# bind cam (swap left) 2;;
-- : bool = false
-
+ # let swap f x y = f y x;; + # bind cam (swap left) 2;; + - : bool = false + +