I'm working through my AI textbook I got and I've come to the last homework problem for my section:
"Implement the Unification Algorithm outlined on page 69 in any language of your choice."
On page 69, you have the following pseudo-code for the unification algorithm:
function unify(E1, E2);
begin
case
both E1 and E2 are constants or the empty list:
if E1 = E2 then return {}
else return FAIL;
E1 is a variable:
if E1 occurs in E2 then return FAIL
else return {E2/E1}
E2 is a variable
if E2 occurs in E1 then FAIL
else return {E1/E2}
either E1 or E2 are empty then return FAIL
otherwise:
begin
HE1 := first element of E1;
HE2 := first element of E2;
SUBS1 := unify(HE1, HE2);
if SUBS1 := FAIL then return FAIL;
TE1 := apply(SUBS1, rest of E1);
TE2 := apply(SUBS1, rest of E2);
SUBS2 := unify(TE1, TE2);
if SUBS2 = FAIL then return FAIL;
else return composition(SUBS1, SUBS2)
end
end
end
Now, I understand the general concept of unification but I have absolutely no idea how I would even begin to implement this in a language like Java or C#.
I'm not even sure what the method signature would look like. What type of variables would it take? I'm fairly certain I need to return lists to represent predicate calculus constructs but that is a guess.
For example, when it says "E1 is a variable", well, if I'm passing it into the Unify method, how could it be anything but? I could check for null but would that be different than "empty list"?
Can anyone help me or point me in the right direction for implementing the Unificaiton algorithm in C# or Java?
For anyone interested I found the same algorithm at http://www.cs.trincoll.edu/~ram/cpsc352/notes/unification.html with a bit more context.
Lets look at the first line:
function unify(E1, E2)
E1 and E2 are expressions: either lists, variables, or constants. In traditional OOP style typically we would create an abstract base class Expression
and derive other classes from it like List
, Variable
, or Constant
. However in my opinion this is overkill. I implemented this in C# using the dynamic
keyword.
The next question is what does it return? A list of bindings which can be implemented as a Dictionary<string, Object>
.
Below is a snippet from the C# implementation of an implementation from a library called Jigsaw that I am developing for teaching how to implement languages C#.
public static Dictionary<string, object> Unify(dynamic e1, dynamic e2)
{
if ((IsConstant(e1) && IsConstant(e2)))
{
if (e1 == e2)
return new Dictionary<string,object>();
throw new Exception("Unification failed");
}
if (e1 is string)
{
if (e2 is List && Occurs(e1, e2))
throw new Exception("Cyclical binding");
return new Dictionary<string, object>() { { e1, e2 } };
}
if (e2 is string)
{
if (e1 is List && Occurs(e2, e1))
throw new Exception("Cyclical binding");
return new Dictionary<string, object>() { { e2, e1 } };
}
if (!(e1 is List) || !(e2 is List))
throw new Exception("Expected either list, string, or constant arguments");
if (e1.IsEmpty || e2.IsEmpty)
{
if (!e1.IsEmpty || !e2.IsEmpty)
throw new Exception("Lists are not the same length");
return new Dictionary<string, object>();
}
var b1 = Unify(e1.Head, e2.Head);
var b2 = Unify(Substitute(b1, e1.Tail), Substitute(b1, e2.Tail));
foreach (var kv in b2)
b1.Add(kv.Key, kv.Value);
return b1;
}
You can find the rest of the algorithm code online at http://code.google.com/p/jigsaw-library/source/browse/trunk/Unifier.cs. Not that in this example the List
class is actually a Lisp-style list that I implemented for the library.