That's a really good point thanks! I guess the right observation to make there is having a fully integrated distributed database behind the knowledge base, which hopefully could unlock some applications scenarios from which Prolog is usually excluded.
I am neither Byrd nor Friedman but I will try my best.
The short answer is that it doesn't compose very well, especially when doing relational programming.
Let's say that `people` is a record of some sort, and not a relation. That is, when we extract people, we get records of data which we can manipulate, and not a set of functions which let us relate the records to each other. Now, imagine a logical query which has the following steps:
exists p :Person
guard p.name == "Titus"
exists gp :Person ? isGrandParent(gp, p)
call scan(gp)
return gp, p
How is this actually going to be executed? Well, you can imagine that first, we'll fetch a Person record, then we'll check if the name is "Titus", and then we'll fetch his grandparents, calling `scan` on each one. (No, I don't know why we would scan grandparents. Here in the USA, we actually let them skip the scanners.) Seems easy, right? What if we make a tiny swap...
exists p :Person
exists gp :Person ? isGrandParent(gp, p)
call scan(gp)
guard p.name == "Titus"
return gp, p
Crap, this isn't the same program. We'll scan every grandparent, even ones without grandkids named Titus.
Relational operators are supposed to commute, but these ones don't commute! What happened? Well, accessing a runtime-computed non-relational fact, like the name of a person here, is an impure operation. It doesn't compose.
So! What's the right answer? We have to express the person<->name connection as a relation rather than a record:
exists p :Person ? personHasName(p, "Titus")
exists gp :Person ? isGrandParent(gp, p)
call somePred(gp)
return gp, p
Byrd's thesis glosses over this point and simply says that we should already have internalized the impurity of `project` or other projection operators.
Edit: I fixed some typos. Also, this paper [0] on my paperstack has Friedman as a co-author and purports to solve this problem in a generic way by adding pure symbolic constraints to miniKanren.
Good point. The declaration is just an extra constraint. It specifies what you can insert not what you have to insert. So in your example you can just insert some of the resources.
> If the application requires constant knowledge updates, having a database is much better than revising and reloading a Prolog program.
Most modern Prologs support the ability to assert and retract facts, so you basically get an in-memory DB to run clauses against continuously.
Other than that, really cool stuff! Love to see logic programming applied in new and interesting ways.