I'm trying to do the following in Prolog: given the list of diseases knowledge base:
symptom(x, a).
symptom(x, b).
symptom(x, c).
symptom(y, b).
symptom(y, d).
symptom(z, c).
symptom(z, e).
Now, given a list of symptoms [a, b], diagnose the possible diseases:
diagnose(Symptom, Issue) :- symptom(Issue, Symptom).
diagnose([S|Tail], Issue) :- diagnose(S, Issue), diagnose(Tail, Issue).
Running this through SWI-Prolog, I received:
?- diagnose([a,b], Issue).
false.
Expected:
Issue = x
Question 1: what am I doing wrongly?
Question 2: how do I modify it to return both x and y? I.e. all the potential diseases that contain at least one of the given symptoms?
Related
If for example, I have a Prolog predicate like
a(A, B).
Is it possible to collect, given a value of A, is it possible to collect all values of B that succeeds the predicate a, into a list, without using built in predicates such as bagof/3 or findall/3.
You have two obvious options (obvious to me; it seems there is more). One is to indeed use the database to save the state. This has at least one pitfall: depending on the name you decide to use for the temporary state, you might destroy some other state your program is keeping. This is the same old "global state"/"global variable" problem that all languages suffer from.
The other option would be to use a "local variable" and non-backtracking assignment to it to keep the temporary state. This is most probably going to be implementation dependent. For starters, you can look at nb_setarg/3 for SWI-Prolog.
However, both solutions are silly, given that you have findall, bagof, setof. You must motivate the need for something else to replace those. Just saying "is it possible" is not good enough since it is possible, but completely unnecessary, unless you know something else that you aren't telling us.
Here's a sketch of a stupid setof that uses other builtins, though not assert, and not exactly the ones listed by #false in a comment.
We'll use a list accumulator to collect solutions:
stupid_setof(Template, Goal, Set) :-
stupid_setof(Template, Goal, [], Set).
There are two cases to consider: Either the Goal can enumerate a solution we have not seen so far, or the only ones it can enumerate are already in our accumulator.
First, the case where there are no solutions we haven't seen. In this case we're done.
stupid_setof(Template, Goal, SolutionsSeen, Set) :-
\+ ( call(Goal),
\+ member(Template, SolutionsSeen) ),
!,
sort(SolutionsSeen, Set).
Now for the stupid part. Consider:
foo(a).
foo(b).
foo(c).
?- SolutionsSeen = [], foo(X), \+ member(X, SolutionsSeen), !.
SolutionsSeen = [],
X = a.
?- SolutionsSeen = [a], foo(X), \+ member(X, SolutionsSeen), !.
SolutionsSeen = [a],
X = b.
?- SolutionsSeen = [a, b], foo(X), \+ member(X, SolutionsSeen), !.
SolutionsSeen = [a, b],
X = c.
?- SolutionsSeen = [a, b, c], foo(X), \+ member(X, SolutionsSeen), !.
false.
So given a list of solutions we've seen before, we can force Goal to backtrack until it gives us one that we haven't seen before. Note that these queries are independent: In each one we have a completely fresh copy of the foo(X) goal that starts enumerating from a.
We can do the same thing programmatically by copying the original goal before calling it, forcing it to start a fresh enumeration from a fresh instance of the Goal. If this finds a new solution, we can add it to our solutions, then repeat with another fresh copy of the goal, forcing it to enumerate yet another new solution, and so on:
stupid_setof(Template, Goal, SolutionsSeen, Set) :-
copy_term(Goal-Template, GoalInstance-Solution),
call(GoalInstance),
\+ member(Solution, SolutionsSeen),
!,
stupid_setof(Template, Goal, [Solution | SolutionsSeen], Set).
If Goal has N answers, this will enumerate on the order of N**2 of them and do corresponding linear searches in the solutions list. It will also perform any side effects that Goal has multiple times.
But it "works":
?- stupid_setof(X, foo(X), Xs).
Xs = [a, b, c].
And, despite all of its stupidity, this is still less stupid than the standard setof/3 if Goal has no solutions:
:- dynamic bar/1. % no clauses
?- setof(X, bar(X), Set).
false.
?- stupid_setof(X, bar(X), Set).
Set = [].
Lets assume SICStus Prolog is the benchmark for the
implementation of certain predicates, even ISO core standard
predicates. Especially in connection with attributed variables.
I then find these examples here. It's from SICStus 4 and not only SICStus 3:
?- when(nonvar(X), X=a), subsumes_term(X, b), X = a.
X = a ?
yes
?- when(nonvar(X), X=a), subsumes_term(X, b), X = b.
no
When doing the same in SWI-Prolog I get different results:
?- when(nonvar(X), X=a), subsumes_term(X, b), X = a.
false.
?- when(nonvar(X), X=a), subsumes_term(X, b), X = b.
false.
How would one implement a workaround in SWI-Prolog? ROKs METUTL.PL probably doesn't help, since it uses normal unification.
Here is a suggestion (not actually tested in SWI-prolog):
subsumes_term_sicstus(X, Y):-
copy_term(X-Y, XC-YC, _),
subsumes_term(XC, YC).
The idea is simply to copy the two structures then use the original predicate on the copies, which do not have attributes or frozen goals attached.
According to the documentation, it appears that copy_term/2 copies the attributes of attributed variables in SWI-prolog (but not in SICStus), so I am using copy_term/3 instead here. I see that there is also a copy_term_nat/2, which might be used instead.
I am stuck with the following Prolog question:
Given the edges of a graph with no cycles as facts. e.g:
edge(a, b).
edge(b, c).
edge(c, d).
edge(c, e).
...
I have to write a predicate that tests whether there are two different paths between vertices X and Y. e.g the call two_paths(a, c). should return true if there are two different paths from node a to node c. I know how to check whether there is a path between two vertices:
path(X, Y) :- edge(X, Y).
path(X, Y) :- edge(X, Z), path(Z, Y).
But how should I do this to check for two distinct paths? Thank you very much for your help.
An idea might be to create a predicate path/3 that returns the constructed path, and then query for two paths that are different. Something like:
path(X,Y,[X,Y]) :- edge(X,Y).
path(X,Y,[X|T]) :- edge(X,Z), path(Z,Y,T).
Now path(a,c,T) will show you the path:
?- path(a,c,L).
L = [a, b, c] ;
false.
Now you could construct a predicate:
two_paths(X,Y) :-
path(X,Y,La),
path(X,Y,Lb),
dif(La,Lb).
In other words, you ask Prolog to construct for you a path La, next construct for you a path Lb and then check if they are not equal (dif(La,Lb)). The first constructed Lb will be equivalent to La, but due to Prologs backtracking mechanism, it will try to construct you another path for which the condition might succeed. This is a rather pure Prolog implementation (with no cut (!), once/1, etc.). More efficient approaches exists since here you will "redo" the work in your second call.
A more efficient approach could be to construct a predicate path_avoid/3 (or path_avoid/4) where you feed the first constructed path to the predicate and thus force your program to at least at some point perform a different step from the one presented. I leave this open as a potential exercise.
TL;DR: sibling(a,X) succeeds with the answer X = a, but sibling(a,a) fails.
I have the following Prolog file:
children(a, c).
children(a, d).
children(b, c).
children(b, d).
sibling(X, Y) :-
X \== Y, A \== B,
children(X, A), children(X, B),
children(Y, A), children(Y, B).
It seems clear enough to me, two person are siblings if their parents are the same. Also, a person is not their own sibling.
But when I tried to run some queries on GNU Prolog, I get some strange results:
| ?- sibling(a, b).
true ? a
true
true
yes
This is the intended behavior. a and b are siblings. There are three results, which is a bit weird, but I assume Prolog is binding A = c, B = d and A = d, B = c.
| ?- sibling(a, a).
no
I think this means a and a are not siblings.
| ?- sibling(a, X).
X = a ? a
X = b
X = a
X = b
X = a
X = b
X = a
X = b
(15 ms) yes
This is where I got stuck: It says X = a, which means sibling(a,a) is true, but sibling(a,a) failed in the previous query!
I feel that I'm not understanding what \== actually does in Prolog.
What is happening, and how do I fix this?
TL;DR: Use prolog-dif—or iso_dif/2 (on iso-prolog conforming systems like gnu-prolog)!
Good question, +1!
In fact, it's a question I have asked myself, and the answer has to do with logical-purity: logical purity is a central aspect of what
makes Prolog as a language so special, as it enables you to:
describe—not prescribe
write code that is relational—not just functional
think in terms of problems / solutions—not the individual steps of the search process itself
operate on a higher level—not get lost in nitty-gritty details
Unlike many other programming languages, Prolog programs have both procedural semantics (defining the execution steps and their order) and declarative semantics (allowing you to state relations that should hold and let the Prolog processor find a proper way of execution by itself).
But, beware: Prolog has some features that, when used, ruin declarative semantics. To prevent this, try to structure your application into two parts: an impure shell for dealing with side-effects (input/output) and a logically pure base which comprises pure monotonic Prolog code.
Try moving the inequality to the end of the predicate. Maybe it gives you true because it's not instantiated already.
sibling(X,Y):- children(X, A), children(X, B),
children(Y, A), children(Y, B),
X \== Y, A \== B.
Say I have the following piece of code:
edge(a, b).
edge(a, c).
edge(a, d).
Now when I do
neighbors(V, N) :- edge(V, N), writeln(N), fail.
I can get a list of the neighbors printed out to the console. But how can I get it as a result list? Something like
neighbors(V, Vs) :-
edge(V, N),
not(member(N, Vs)),
neighbors(V, [N|Vs]).
(the above piece doesn't really work due to the way member is handled. Any suggestion please?
Read about findall, bagof and setof in your favorite Prolog implementation's manual, or e.g. the section "11.2 Collecting solutions" in Learn Prolog Now!
(Unfortunately it is difficult to directly link to these resources.)
You can use bagof/3 to create a list of your verticies that satisfy the goal, "Vs is all N that is an edge of V."
neighbors(V, Vs) :- bagof(N, edge(V, N), Vs).
neighbors(a, Vs). % Vs = [b, c, d].