I want to solve this problem in Prolog. i want give a list of natural numbers to find all the elements in the list that satisfy this condition:
All elements on the left of it are smaller than it and all the elements on the right of it are larger than it.
For example give a list [3,2,4,1,5,7,8,9,10,8] the answer would be 5,7
So far I've manage to make this function that given an element of the list it returns true or false if the element satisfises the condition described above.
check(Elem, List) :-
seperate(Elem, List, List1, List2),
lesser(Elem, List1, X1),
bigger(Elem, List2, X2),
size(X1, L1),
size(X2, L2),
size(List, L3),
match(L1, L2, L3),
Now I want to make another predicate that given a list, it does the above computations for each element of the list. Due to the fact that more than one element may satisfy it I want to create another list with all the elements that satisfy the problem.
The question would be something like ?-predicate_name([[3,2,4,1,5,7,8,9,10,8],N). and the result would be a list of elements.
Sry If I am not using the right terms of Prolog. I will describe what I want to do in sequential logic language to be more specific although it's not a good idea to think like that. If we consider a the predicate check as a function that given a list and element of the list it would return true or false whether or not the element satisfied the conditions of the problem. Now I want to parse each element of the list and for each one of it call the function check. If that would return true then I would add the element in another list a.k.a result. I want to do this in Prolog but I don't know how to iterate a list.
Here is a version using DCGs and assuming we want to compare arithmetically.
list_mid(L, M) :-
phrase(mid(M), L).
mid(M) -->
seq(Sm),
[M],
{maplist(>(M),Sm)},
seq(Gr),
{maplist(<(M),Gr)}.
seq([]) -->
[].
seq([E|Es]) -->
[E],
seq(Es).
Often it is not worth optimizing this any further. The first seq(Sm) together with the subsequent maplist/2 might be merged together. This is a bit tricky, since one has to handle separately the cases where Sm = [] and Sm = [_|_].
mid(M) -->
( [M]
| max(Mx),
[M],
{Mx < M}
),
min(M).
max(M) -->
[E],
maxi(E, M).
maxi(E, E) -->
[].
maxi(E, M) -->
[F],
{G is max(F,E)},
maxi(G, M).
min(_) -->
[].
min(M) -->
[E],
{M < E},
min(M).
I'm going to take a different approach on the problem.
We want to find all of the values that meet the criteria of being a "mid" value, which is one defined as being greater than all those before it in the list, and less than all those after.
Define a predicate mid(L, M) as meaning M is a "mid" value of L:
mid([X|T], X) :- % The first element of a list is a "mid" if...
less(X, T). % it is less than the rest of the list
mid([X|T], M) :- % M is a "mid" of [X|T] if...
mid(T, X, M). % M is a "mid" > X
% (NOTE: first element is not a "mid" by definition)
mid([X|T], LastM, X) :- % X is a "mid" > Y if...
X > LastM, % X > the last "mid"
less(X, T). % X < the rest of the list, T
mid([X|T], LastM, M) :- % Also, M is a "mid" if...
Z is max(X, LastM), % Z is the larger of X and the last "mid"
mid(T, Z, M). % M is the "mid" of T which is > Z
less(X, [Y|T]) :- % X is less than the list [Y|T] if...
X < Y, % X < Y, and
less(X, T). % X < the tail, T
less(_, []). % An element is always less than the empty list
Each query will find the next "mid":
| ?- mid([3,2,4,1,5,7,8,9,10,8], M).
M = 5 ? ;
M = 7 ? ;
no
Then they can be captured with a findall:
mids(L, Ms) :-
findall(M, mid(L, M), Ns).
| ?- mids([3,2,4,1,5,7,8,9,10,8], Ms).
Ms = [5,7]
yes
| ?- mids([2], L).
L = [2]
(1 ms) yes
This is probably not the most computationally efficient solution since it doesn't take advantage of a couple of properties of "mids". For example, "mids" will all be clustered together contiguously, so once a "mid" is found, it doesn't make sense to continue searching if an element is subsequently encountered which is not itself a "mid". If efficiency is a goal, these sorts of ideas can be worked into the logical process.
ADDENDUM
With credit to #false for reminding me about maplist, the above predicate call less(X, T) could be replaced by maplist(<(X), T) eliminating the definition of less in the above implementation.
Related
I have to replicate each element n times like this:
?- replicate([a,b,c],2,X). -> X = [a,a,b,b,c,c]
?- replicate([a,b,c],3,X). -> X = [a,a,a,b,b,b,c,c,c]
I have tried everything with the information I have so far, the only thing I have been able to do is to determine which is the most repeating element like this:
%List of tuples, keeps track of the number of repetitions.
modify([],X,[(X,1)]).
modify([(X,Y)|Xs],X,[(X,K)|Xs]):- K is Y+1.
modify([(Z,Y)|Xs],X,[(Z,Y)|K]):- Z =\= X, modify(Xs,X,K).
highest((X1,Y1),(_,Y2),(X1,Y1)):- Y1 >= Y2.
highest((_,Y1),(X2,Y2),(X2,Y2)):- Y2 > Y1.
maxR([X],X).
maxR([X|Xs],K):- maxR(Xs,Z),highest(X,Z,K).
rep([],R,R).
rep([X|Xs],R,R1):-modify(R,X,R2),rep(Xs,R2,R1).
maxRepeated(X,R):- rep(X,[],K),maxR(K,R).
?- maxRepeated([1,3,3,4,3,2] ,X).
X = (3, 3) .
?- maxRepeated([1,2,3,4,5,6] ,X).
X = (1, 1) .
What do you want to do ?
Take each element X of the list, get a list of N X and create a new list with the process of the rest of the list !
How to get a list of N elements X ?
replicate_one(X, N, Out) :-
length(Out, N),
maplist(=(X),Out).
Now, how to work with each element of the input, it can be easily done with the pattern [Head|Tail] :
replicate([Head|Tail], N, Out) :-
% I replicate the rest of the list
replicate(Tail, N, Tmp1),
% I replicate the first element of the list
replicate_one(Head, N, Tmp2),
% I concatenate the 2 results
append(Tmp2, Tmp1, Out).
When you work with replicate, the input looses an element each time, so you must have a process for the empty list :
replicate([], _N, []).
Now :
?- replicate([a,b,c],3,X).
X = [a, a, a, b, b, b, c, c, c].
We can split the problem into two problems:
generate a list of N elements X with a predicate we implement replicate_item/3; and
do this for every element, and concatenate the result in a prdicate named replicate/3.
#joel76 already provided a nice implementation for replicate_item/3. I will only change the order of the parameters:
replicate_item(N, X, List) :-
length(List, N),
maplist(=(X), List).
Now our replicate/3 prdicate can iterate over the list, and for each element use replicate_item/3 to generate a sublist. We can then use append/2 [swi-doc] for this:
replicate(LA, N, List) :-
maplist(replicate_item(N), LA, LL),
append(LL, List).
I want to write predicate which can count all encountered number:
count(1, [1,0,0,1,0], X).
X = 2.
I tried to write it like:
count(_, [], 0).
count(Num, [H|T], X) :- count(Num, T, X1), Num = H, X is X1 + 1.
Why doesn't work it?
Why doesn't work it?
Prolog is a programming language that often can answer such question directly. Look how I tried out your definition starting with your failing query:
?- count(1, [1,0,0,1,0], X).
false.
?- count(1, Xs, X).
Xs = [], X = 0
; Xs = [1], X = 1
; Xs = [1,1], X = 2
; Xs = [1,1,1], X = 3
; ... .
?- Xs = [_,_,_], count(1, Xs, X).
Xs = [1,1,1], X = 3.
So first I realized that the query does not work at all, then I generalized the query. I replaced the big list by a variable Xs and said: Prolog, fill in the blanks for me! And Prolog did this and reveals us precisely the cases when it will succeed.
In fact, it only succeeds with lists of 1s only. That is odd. Your definition is too restricted - it correctly counts the 1s in lists where there are only ones, but all other lists are rejected. #coder showed you how to extend your definition.
Here is another one using library(reif) for
SICStus|SWI. Alternatively, see tfilter/3.
count(X, Xs, N) :-
tfilter(=(X), Xs, Ys),
length(Ys, N).
A definition more in the style of the other definitions:
count(_, [], 0).
count(E, [X|Xs], N0) :-
if_(E = X, C = 1, C = 0),
count(E, Xs, N1),
N0 is N1+C.
And now for some more general uses:
How does a four element list look like that has 3 times a 1 in it?
?- length(L, 4), count(1, L, 3).
L = [1,1,1,_A], dif(1,_A)
; L = [1,1,_A,1], dif(1,_A)
; L = [1,_A,1,1], dif(1,_A)
; L = [_A,1,1,1], dif(1,_A)
; false.
So the remaining element must be something different from 1.
That's the fine generality Prolog offers us.
The problem is that as stated by #lurker if condition (or better unification) fails then the predicate will fail. You could make another clause for this purpose, using dif/2 which is pure and defined in the iso:
count(_, [], 0).
count(Num, [H|T], X) :- dif(Num,H), count(Num, T, X).
count(Num, [H|T], X) :- Num = H, count(Num, T, X1), X is X1 + 1.
The above is not the most efficient solution since it leaves many choice points but it is a quick and correct solution.
You simply let the predicate fail at the unification Num = X. Basically, it's like you don't accept terms which are different from the only one you are counting.
I propose to you this simple solution which uses tail recursion and scans the list in linear time. Despite the length, it's very efficient and elegant, it exploits declarative programming techniques and the backtracking of the Prolog engine.
count(C, L, R) :-
count(C, L, 0, R).
count(_, [], Acc, Acc).
count(C, [C|Xr], Acc, R) :-
IncAcc is Acc + 1,
count(C, Xr, IncAcc, R).
count(C, [X|Xr], Acc, R) :-
dif(X, C),
count(C, Xr, Acc, R).
count/3 is the launcher predicate. It takes the term to count, the list and gives to you the result value.
The first count/4 is the basic case of the recursion.
The second count/4 is executed when the head of the list is unified with the term you are looking for.
The third count/4 is reached upon backtracking: If the term doesn’t match, the unification fails, you won't need to increment the accumulator.
Acc allows you to scan the entire list propagating the partial result of the recursive processing. At the end you simply have to return it.
I solved it myself:
count(_, [], 0).
count(Num, [H|T], X) :- Num \= H, count(Num, T, X).
count(Num, [H|T], X) :- Num = H, count(Num, T, X1), X is X1 + 1.
I have decided to add my solution to the list here.
Other solutions here use either explicit unification/failure to unify, or libraries/other functions, but mine uses cuts and implicit unification instead. Note my solution is similar to Ilario's solution but simplifies this using cuts.
count(_, [], 0) :- !.
count(Value, [Value|Tail],Occurrences) :- !,
count(Value,Tail,TailOcc),
Occurrences is TailOcc+1.
count(Value, [_|Tail], Occurrences) :- count(Value,Tail,Occurrences).
How does this work? And how did you code it?
It is often useful to equate solving a problem like this to solving a proof by induction, with a base case, and then a inductive step which shows how to reduce the problem down.
Line 1 - base case
Line 1 (count(_, [], 0) :- !.) handles the "base case".
As we are working on a list, and have to look at each element, the simplest case is zero elements ([]). Therefore, we want a list with zero elements to have no instances of the Value we are looking for.
Note I have replaced Value in the final code with _ - this is because we do not care what value we are looking for if there are no values in the list anyway! Therefore, to avoid a singleton variable we negate it here.
I also added a ! (a cut) after this - as there is only one correct value for the number of occurrences we do not want Prolog to backtrack and fail - therefore we tell Prolog we found the correct value by adding this cut.
Lines 2/3 - inductive step
Lines 2 and 3 handle the "inductive step". This should handle if we have one or more elements in the list we are given. In Prolog we can only directly look at the head of the list, therefore let us look at one element at a time. Therefore, we have two cases - either the value at the head of the list is the Value we are looking for, or it is not.
Line 2
Line 2 (count(Value, [Value|Tail],Occurrences) :- !, count(Value,Tail,TailOcc), Occurrences is TailOcc+1.) handles if the head of our list and the value we are looking for match. Therefore, we simply use the same variable name so Prolog will unify them.
A cut is used as the first step in our solution (which makes each case mutually exclusive, and makes our solution last-call-optimised, by telling Prolog not to try any other rules).
Then, we find out how many instances of our term there are in the rest of the list (call it TailOcc). We don't know how many terms there are in the list we have at the moment, but we know it is one more than there are in the rest of the list (as we have a match).
Once we know how many instances there are in the rest of the list (call this Tail), we can take this value and add 1 to it, then return this as the last value in our count function (call this Occurences).
Line 3
Line 3 (count(Value, [_|Tail], Occurrences) :- count(Value,Tail,Occurrences).) handles if the head of our list and the value we are looking for do not match.
As we used a cut in line 2, this line will only be tried if line 2 fails (i.e. there is no match).
We simply take the number of instances in the rest of the list (the tail) and return this same value without editing it.
I've been searching for something that might help me with my problem all over the internet but I haven't been able to make any progress. I'm new to logic programming and English is not my first language so apologize for any mistake.
Basically I want to implement this prolog program: discord/3 which has arguments L1, L2 lists and P where P are the indexes of the lists where L1[P] != L2[P] (in Java). In case of different lengths, the not paired indexes just fail. Mode is (+,+,-) nondet.
I got down the basic case but I can't seem to wrap my head around on how to define P in the recursive call.
discord(_X,[],_Y) :-
fail.
discord([H1|T1],[H1|T2],Y) :-
???
discord(T1,T2,Z).
discord([_|T1],[_|T2],Y) :-
???
discord(T1,T2,Z).
The two clauses above are what I came up to but I have no idea on how to represent Y - and Z - so that the function actually remembers the length of the original list. I've been thinking about using nth/3 with eventually an assert but I'm not sure where to place them in the program.
I'm sure there has to be an easier solution although. Thanks in advance!
You can approach this in two ways. First, the more declarative way would be to enumerate the indexed elements of both lists with nth1/3 and use dif/2 to ensure that the two elements are different:
?- L1 = [a,b,c,d],
L2 = [x,b,y,d],
dif(X, Y),
nth1(P, L1, X),
nth1(P, L2, Y).
X = a, Y = x, P = 1 ;
X = c, Y = y, P = 3 ;
false.
You could also attempt to go through both list at the same time and keep a counter:
discord(L1, L2, P) :-
discord(L1, L2, 1, P).
discord([X|_], [Y|_], P, P) :-
dif(X, Y).
discord([_|Xs], [_|Ys], N, P) :-
succ(N, N1),
discord(Xs, Ys, N1, P).
Then, from the top level:
?- discord([a,b,c,d], [a,x,c,y], Ps).
Ps = 2 ;
Ps = 4 ;
false.
Example of my CLP problem (this is a small part of a larger problem which uses the clpfd library):
For a list of length 5, a fact el_sum(Pos,N,Sum) specifies that the N consecutive elements starting from position Pos (index from 1) have sum equal to Sum. So if we have
el_sum(1,3,4).
el_sum(2,2,3).
el_sum(4,2,5).
Then [1,2,1,4,1] would work for this example since 1+2+1=4, 2+1=3, 4+1=5.
I'm struggling with how to even start using the el_sum's to find solutions with an input list [X1,X2,X3,X4,X5]. I'm thinking I should use findall but I'm not really getting anywhere.
(My actual problem is much bigger than this so I'm looking for a solution that doesn't just work for three facts and a small list).
Thanks!
You are mixing here the monotonic world of constraints with some non-monotonic quantification. Don't try to mix them too closely. Instead, first transform those facts into, say, a list of terms.
el_sums(Gs) :-
G = el_sum(_,_,_),
findall(G, G, Gs).
And then, only then, start with the constraint part that will now remain monotonic. So:
?- el_sums(Gs), length(L5,5), maplist(l5_(L5), Gs).
l5_(L5, el_sum(P, N, S)) :-
length([_|Pre], P),
length(Cs, N),
phrase((seq(Pre),seq(Cs),seq(_)), L5),
list_sum(Cs,S).
seq([]) --> [].
seq([E|Es]) --> [E], seq(Es).
Not sure this will help, I don't understand your workflow... from where the list do come ? Anyway
:- [library(clpfd)].
el_sum(Pos,N,Sum) :-
length(L, 5),
L ins 0..100,
el_sum(Pos,N,Sum,L),
label(L), writeln(L).
el_sum(P,N,Sum,L) :-
N #> 0,
M #= N-1,
Q #= P+1,
el_sum(Q,M,Sum1,L),
element(N,L,T),
Sum #= Sum1 + T.
el_sum(_P,0,0,_L).
yields
?- el_sum(1,2,3).
[0,3,0,0,0]
true ;
[0,3,0,0,1]
true ;
...
I was just introduced to Prolog and am trying to write a predicate that finds the Max value of a list of integers. I need to write one that compares from the beginning and the other that compares from the end. So far, I have:
max2([],R).
max2([X|Xs], R):- X > R, max2(Xs, X).
max2([X|Xs], R):- X <= R, max2(Xs, R).
I realize that R hasn't been initiated yet, so it's unable to make the comparison. Do i need 3 arguments in order to complete this?
my_max([], R, R). %end
my_max([X|Xs], WK, R):- X > WK, my_max(Xs, X, R). %WK is Carry about
my_max([X|Xs], WK, R):- X =< WK, my_max(Xs, WK, R).
my_max([X|Xs], R):- my_max(Xs, X, R). %start
other way
%max of list
max_l([X],X) :- !, true.
%max_l([X],X). %unuse cut
%max_l([X],X):- false.
max_l([X|Xs], M):- max_l(Xs, M), M >= X.
max_l([X|Xs], X):- max_l(Xs, M), X > M.
Ignoring the homework constraints about starting from the beginning or the end, the proper way to implement a predicate that gets the numeric maximum is as follows:
list_max([P|T], O) :- list_max(T, P, O).
list_max([], P, P).
list_max([H|T], P, O) :-
( H > P
-> list_max(T, H, O)
; list_max(T, P, O)).
A very simple approach (which starts from the beginning) is the following:
maxlist([],0).
maxlist([Head|Tail],Max) :-
maxlist(Tail,TailMax),
Head > TailMax,
Max is Head.
maxlist([Head|Tail],Max) :-
maxlist(Tail,TailMax),
Head =< TailMax,
Max is TailMax.
As you said, you must have the variables instantiated if you want to evaluate an arithmetic expression. To solve this, first you have to make the recursive call, and then you compare.
Hope it helps!
As an alternative to BLUEPIXY' answer, SWI-Prolog has a builtin predicate, max_list/2, that does the search for you. You could also consider a slower method, IMO useful to gain familiarity with more builtins and nondeterminism (and then backtracking):
slow_max(L, Max) :-
select(Max, L, Rest), \+ (member(E, Rest), E > Max).
yields
2 ?- slow_max([1,2,3,4,5,6,10,7,8],X).
X = 10 ;
false.
3 ?- slow_max([1,2,10,3,4,5,6,10,7,8],X).
X = 10 ;
X = 10 ;
false.
edit
Note you don't strictly need three arguments, but just to have properly instantiated variables to carry out the comparison. Then you can 'reverse' the flow of values:
max2([R], R).
max2([X|Xs], R):- max2(Xs, T), (X > T -> R = X ; R = T).
again, this is slower than the three arguments loops, suggested in other answers, because it will defeat 'tail recursion optimization'. Also, it does just find one of the maxima:
2 ?- max2([1,2,3,10,5,10,6],X).
X = 10 ;
false.
Here's how to do it with lambda expressions and meta-predicate foldl/4, and, optionally, clpfd:
:- use_module([library(lambda),library(apply),library(clpfd)]).
numbers_max([Z|Zs],Max) :- foldl(\X^S^M^(M is max(X,S)),Zs,Z,Max).
fdvars_max( [Z|Zs],Max) :- foldl(\X^S^M^(M #= max(X,S)),Zs,Z,Max).
Let's run some queries!
?- numbers_max([1,4,2,3],M). % integers: all are distinct
M = 4. % succeeds deterministically
?- fdvars_max( [1,4,2,3],M).
M = 4. % succeeds deterministically
?- numbers_max([1,4,2,3,4],M). % integers: M occurs twice
M = 4. % succeeds deterministically
?- fdvars_max( [1,4,2,3,4],M).
M = 4. % succeeds deterministically
What if the list is empty?
?- numbers_max([],M).
false.
?- fdvars_max( [],M).
false.
At last, some queries showing differences between numbers_max/2 and fdvars_max/2:
?- numbers_max([1,2,3,10.0],M). % ints + float
M = 10.0.
?- fdvars_max( [1,2,3,10.0],M). % ints + float
ERROR: Domain error: `clpfd_expression' expected, found `10.0'
?- numbers_max([A,B,C],M). % more general use
ERROR: is/2: Arguments are not sufficiently instantiated
?- fdvars_max( [A,B,C],M).
M#>=_X, M#>=C, M#=max(C,_X), _X#>=A, _X#>=B, _X#=max(B,A). % residual goals
list_max([L|Ls], Max) :- foldl(num_num_max, Ls, L, Max).
num_num_max(X, Y, Max) :- Max is max(X, Y).
%Query will be
?-list_max([4,12,5,3,8,90,10,11],Max).
Max=90
Right now I was working with recursion in Prolog, so if it is useful for someone I will leave 'my two cents' solving it in the two ways that I have thought:
% Start
start :- max_trad([2, 4, 6, 0, 5], MaxNumber1),
max_tail([2, 4, 6, 0, 5], 0, MaxNumber2),
show_results(MaxNumber1, MaxNumber2).
% Traditional Recursion (Method 1)
max_trad([Head|Tail], Max) :- max_trad(Tail, Value), Head > Value, Max is Head.
max_trad([Head|Tail], Max) :- max_trad(Tail, Value), Head =< Value, Max is Value.
max_trad([], 0).
% Tail Recursion (Method 2)
max_tail([], PartialMax, PartialMax).
max_tail([Head|Tail], PartialMax, FinalMax) :- Head > PartialMax, max_tail(Tail, Head, FinalMax).
max_tail([_|Tail], PartialMax, FinalMax) :- max_tail(Tail, PartialMax, FinalMax).
% Show both of the results
show_results(MaxNumber1, MaxNumber2) :-
write("The max value (obtained with traditional recursion) is: "), writeln(MaxNumber1),
write("The max value (obtained with tail recursion) is: "), writeln(MaxNumber2).
The output of the above code is:
Both methods are similar, the difference is that in the second an auxiliary variable is used in the recursion to pass values forward, while in the first method, although we have one less variable, we are filling the Stack with instructions to be executed later, so if it were an exaggeratedly large list, the second method is appropriate.
maximum_no([],Max):-
write("Maximum No From the List is:: ",Max).
maximum_no([H|T],Max):-
H>Max,
N = H,
maximum_no(T,N).
maximum_no(L,Max):-
maximum_no(L,Max).
The maximum number in a list in Prolog ?
max([],A):-print(A),!.
max([Head | Tail] , A):-A =< Head ,A1 is Head , max(Tail,A1) ; max(Tail,A).
max(L,M):-
member(M,L),
findall(X,(member(X,L),X>M),NL),
length(NL,0).