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+---
+language: prolog
+filename: learnprolog.pl
+contributors:
+ - ["hyphz", "http://github.com/hyphz/"]
+---
+
+Prolog is a logic programming language first specified in 1972, and refined into multiple modern implementations.
+
+```
+% This is a comment.
+
+% Prolog treats code entered in interactive mode differently
+% to code entered in a file and loaded ("consulted").
+% This code must be loaded from a file to work as intended.
+% Lines that begin with ?- can be typed in interactive mode.
+% A bunch of errors and warnings will trigger when you load this file
+% due to the examples which are supposed to fail - they can be safely
+% ignored.
+
+% Output is based on SWI-prolog 7.2.3. Different Prologs may behave
+% differently.
+
+% Prolog is based on the ideal of logic programming.
+% A subprogram (called a predicate) represents a state of the world.
+% A command (called a goal) tells Prolog to make that state of the world
+% come true, if possible.
+
+% As an example, here is a definition of the simplest kind of predicate:
+% a fact.
+
+magicNumber(7).
+magicNumber(9).
+magicNumber(42).
+
+% This introduces magicNumber as a predicate and says that it is true
+% with parameter 7, 9, or 42, but no other parameter. Note that
+% predicate names must start with lower case letters. We can now use
+% interactive mode to ask if it is true for different values:
+
+?- magicNumber(7). % True
+?- magicNumber(8). % False
+?- magicNumber(9). % True
+
+% Some older Prologs may display "Yes" and "No" instead of True and
+% False.
+
+% What makes Prolog unusual is that we can also tell Prolog to _make_
+% magicNumber true, by passing it an undefined variable. Any name
+% starting with a capital letter is a variable in Prolog.
+
+?- magicNumber(Presto). % Presto = 7 ;
+ % Presto = 9 ;
+ % Presto = 42.
+
+% Prolog makes magicNumber true by assigning one of the valid numbers to
+% the undefined variable Presto. By default it assigns the first one, 7.
+% By pressing ; in interactive mode you can reject that solution and
+% force it to assign the next one, 9. Pressing ; again forces it to try
+% the last one, 42, after which it no longer accepts input because this
+% is the last solution. You can accept an earlier solution by pressing .
+% instead of ;.
+
+% This is Prolog's central operation: unification. Unification is
+% essentially a combination of assignment and equality! It works as
+% follows:
+% If both sides are bound (ie, defined), check equality.
+% If one side is free (ie, undefined), assign to match the other side.
+% If both sides are free, the assignment is remembered. With some luck,
+% one of the two sides will eventually be bound, but this isn't
+% necessary.
+%
+% The = sign in Prolog represents unification, so:
+
+?- 2 = 3. % False - equality test
+?- X = 3. % X = 3 - assignment
+?- X = 2, X = Y. % X = Y = 2 - two assignments
+ % Note Y is assigned to, even though it is
+ % on the right hand side, because it is free
+?- X = 3, X = 2. % False
+ % First acts as assignment and binds X=3
+ % Second acts as equality because X is bound
+ % Since 3 does not equal 2, gives False
+ % Thus in Prolog variables are immutable
+?- X = 3+2. % X = 3+2 - unification can't do arithmetic
+?- X is 3+2. % X = 5 - "is" does arithmetic.
+?- 5 = X+2. % This is why = can't do arithmetic -
+ % because Prolog can't solve equations
+?- 5 is X+2. % Error. Unlike =, the right hand side of IS
+ % must always be bound, thus guaranteeing
+ % no attempt to solve an equation.
+?- X = Y, X = 2, Z is Y + 3. % X = Y, Y = 2, Z = 5.
+ % X = Y are both free, so Prolog remembers
+ % it. Therefore assigning X will also
+ % assign Y.
+
+% Any unification, and thus any predicate in Prolog, can either:
+% Succeed (return True) without changing anything,
+% because an equality-style unification was true
+% Succeed (return True) and bind one or more variables in the process,
+% because an assignment-style unification was made true
+% or Fail (return False)
+% because an equality-style unification was false
+% (Failure can never bind variables)
+
+% The ideal of being able to give any predicate as a goal and have it
+% made true is not always possible, but can be worked toward. For
+% example, Prolog has a built in predicate plus which represents
+% arithmetic addition but can reverse simple additions.
+
+?- plus(1, 2, 3). % True
+?- plus(1, 2, X). % X = 3 because 1+2 = X.
+?- plus(1, X, 3). % X = 2 because 1+X = 3.
+?- plus(X, 2, 3). % X = 1 because X+2 = 3.
+?- plus(X, 5, Y). % Error - although this could be solved,
+ % the number of solutions is infinite,
+ % which most predicates try to avoid.
+
+% When a predicate such as magicNumber can give several solutions, the
+% overall compound goal including it may have several solutions too.
+
+?- magicNumber(X), plus(X,Y,100). % X = 7, Y = 93 ;
+ % X = 9, Y = 91 ;
+ % X = 42, Y = 58 .
+% Note: on this occasion it works to pass two variables to plus because
+% only Y is free (X is bound by magicNumber).
+
+% However, if one of the goals is fully bound and thus acts as a test,
+% then solutions which fail the test are rejected.
+?- magicNumber(X), X > 40. % X = 42
+?- magicNumber(X), X > 100. % False
+
+% To see how Prolog actually handles this, let's introduce the print
+% predicate. Print always succeeds, never binds any variables, and
+% prints out its parameter as a side effect.
+
+?- print("Hello"). % "Hello" true.
+?- X = 2, print(X). % 2 true.
+?- X = 2, print(X), X = 3. % 2 false - print happens immediately when
+ % it is encountered, even though the overall
+ % compound goal fails (because 2 != 3,
+ % see the example above).
+
+% By using Print we can see what actually happens when we give a
+% compound goal including a test that sometimes fails.
+?- magicNumber(X), print(X), X > 40. % 7 9 42 X = 42 .
+
+% MagicNumber(X) unifies X with its first possibility, 7.
+% Print(X) prints out 7.
+% X > 40 tests if 7 > 40. It is not, so it fails.
+% However, Prolog remembers that magicNumber(X) offered multiple
+% solutions. So it _backtracks_ to that point in the code to try
+% the next solution, X = 9.
+% Having backtracked it must work through the compound goal
+% again from that point including the Print(X). So Print(X) prints out
+% 9.
+% X > 40 tests if 9 > 40 and fails again.
+% Prolog remembers that magicNumber(X) still has solutions and
+% backtracks. Now X = 42.
+% It works through the Print(X) again and prints 42.
+% X > 40 tests if 42 > 40 and succeeds so the result bound to X
+% The same backtracking process is used when you reject a result at
+% the interactive prompt by pressing ;, for example:
+
+?- magicNumber(X), print(X), X > 8. % 7 9 X = 9 ;
+ % 42 X = 42.
+
+% As you saw above we can define our own simple predicates as facts.
+% More complex predicates are defined as rules, like this:
+
+nearby(X,Y) :- X = Y.
+nearby(X,Y) :- Y is X+1.
+nearby(X,Y) :- Y is X-1.
+
+% nearby(X,Y) is true if Y is X plus or minus 1.
+% However this predicate could be improved. Here's why:
+
+?- nearby(2,3). % True ; False.
+% Because we have three possible definitions, Prolog sees this as 3
+% possibilities. X = Y fails, so Y is X+1 is then tried and succeeds,
+% giving the True answer. But Prolog still remembers there are more
+% possibilities for nearby() (in Prolog terminology, "it has a
+% choice point") even though "Y is X-1" is doomed to fail, and gives us
+% the option of rejecting the True answer, which doesn't make a whole
+% lot of sense.
+
+?- nearby(4, X). % X = 4 ;
+ % X = 5 ;
+ % X = 3. Great, this works
+?- nearby(X, 4). % X = 4 ;
+ % error
+% After rejecting X = 4 prolog backtracks and tries "Y is X+1" which is
+% "4 is X+1" after substitution of parameters. But as we know from above
+% "is" requires its argument to be fully instantiated and it is not, so
+% an error occurs.
+
+% One way to solve the first problem is to use a construct called the
+% cut, !, which does nothing but which cannot be backtracked past.
+
+nearbychk(X,Y) :- X = Y, !.
+nearbychk(X,Y) :- Y is X+1, !.
+nearbychk(X,Y) :- Y is X-1.
+
+% This solves the first problem:
+?- nearbychk(2,3). % True.
+
+% But unfortunately it has consequences:
+?- nearbychk(2,X). % X = 2.
+% Because Prolog cannot backtrack past the cut after X = Y, it cannot
+% try the possibilities "Y is X+1" and "Y is X-1", so it only generates
+% one solution when there should be 3.
+% However if our only interest is in checking if numbers are nearby,
+% this may be all we need, thus the name nearbychk.
+% This structure is used in Prolog itself from time to time (for example
+% in list membership).
+
+% To solve the second problem we can use built-in predicates in Prolog
+% to verify if a parameter is bound or free and adjust our calculations
+% appropriately.
+nearby2(X,Y) :- nonvar(X), X = Y.
+nearby2(X,Y) :- nonvar(X), Y is X+1.
+nearby2(X,Y) :- nonvar(X), Y is X-1.
+nearby2(X,Y) :- var(X), nonvar(Y), nearby2(Y,X).
+
+% We can combine this with a cut in the case where both variables are
+% bound, to solve both problems.
+nearby3(X,Y) :- nonvar(X), nonvar(Y), nearby2(X,Y), !.
+nearby3(X,Y) :- nearby2(X,Y).
+
+% However when writing a predicate it is not normally necessary to go to
+% these lengths to perfectly support every possible parameter
+% combination. It suffices to support parameter combinations we need to
+% use in the program. It is a good idea to document which combinations
+% are supported. In regular Prolog this is informally in structured
+% comments, but in some Prolog variants like Visual Prolog and Mercury
+% this is mandatory and checked by the compiler.
+
+% Here is the structured comment declaration for nearby3:
+
+%! nearby3(+X:Int, +Y:Int) is semideterministic.
+%! nearby3(+X:Int, -Y:Int) is multi.
+%! nearby3(-X:Int, +Y:Int) is multi.
+
+% For each variable we list a type. The + or - before the variable name
+% indicates if the parameter is bound (+) or free (-). The word after
+% "is" describes the behaviour of the predicate:
+% semideterministic - can succeed once or fail
+% ( Two specific numbers are either nearby or not )
+% multi - can succeed multiple times but cannot fail
+% ( One number surely has at least 3 nearby numbers )
+% Other possibilities are:
+% det - always succeeds exactly once (eg, print)
+% nondet - can succeed multiple times or fail.
+% In Prolog these are just structured comments and strictly informal but
+% extremely useful.
+
+% An unusual feature of Prolog is its support for atoms. Atoms are
+% essentially members of an enumerated type that are created on demand
+% whenever an unquoted non variable value is used. For example:
+character(batman). % Creates atom value batman
+character(robin). % Creates atom value robin
+character(joker). % Creates atom value joker
+character(darthVader). % Creates atom value darthVader
+?- batman = batman. % True - Once created value is reused
+?- batman = batMan. % False - atoms are case sensitive
+?- batman = darthVader. % False - atoms are distinct
+
+% Atoms are popular in examples but were created on the assumption that
+% Prolog would be used interactively by end users - they are less
+% useful for modern applications and some Prolog variants abolish them
+% completely. However they can be very useful internally.
+
+% Loops in Prolog are classically written using recursion.
+% Note that below, writeln is used instead of print because print is
+% intended for debugging.
+
+%! countTo(+X:Int) is deterministic.
+%! countUpTo(+Value:Int, +Limit:Int) is deterministic.
+countTo(X) :- countUpTo(1,X).
+countUpTo(Value, Limit) :- Value = Limit, writeln(Value), !.
+countUpTo(Value, Limit) :- Value \= Limit, writeln(Value),
+ NextValue is Value+1,
+ countUpTo(NextValue, Limit).
+
+?- countTo(10). % Outputs 1 to 10
+
+% Note the use of multiple declarations in countUpTo to create an
+% IF test. If Value = Limit fails the second declaration is run.
+% There is also a more elegant syntax.
+
+%! countUpTo2(+Value:Int, +Limit:Int) is deterministic.
+countUpTo2(Value, Limit) :- writeln(Value),
+ Value = Limit -> true ; (
+ NextValue is Value+1,
+ countUpTo2(NextValue, Limit)).
+
+?- countUpTo2(1,10). % Outputs 1 to 10
+
+% If a predicate returns multiple times it is often useful to loop
+% through all the values it returns. Older Prologs used a hideous syntax
+% called a "failure-driven loop" to do this, but newer ones use a higher
+% order function.
+
+%! countTo2(+X:Int) is deterministic.
+countTo2(X) :- forall(between(1,X,Y),writeln(Y)).
+
+?- countTo2(10). % Outputs 1 to 10
+
+% Lists are given in square brackets. Use memberchk to check membership.
+% A group is safe if it doesn't include Joker or does include Batman.
+
+%! safe(Group:list(atom)) is deterministic.
+safe(Group) :- memberchk(joker, Group) -> memberchk(batman, Group) ; true.
+
+?- safe([robin]). % True
+?- safe([joker]). % False
+?- safe([joker, batman]). % True
+
+% The member predicate works like memberchk if both arguments are bound,
+% but can accept free variables and thus can be used to loop through
+% lists.
+
+?- member(X, [1,2,3]). % X = 1 ; X = 2 ; X = 3 .
+?- forall(member(X,[1,2,3]),
+ (Y is X+1, writeln(Y))). % 2 3 4
+
+% The maplist function can be used to generate lists based on other
+% lists. Note that the output list is a free variable, causing an
+% undefined value to be passed to plus, which is then bound by
+% unification. Also notice the use of currying on the plus predicate -
+% it's a 3 argument predicate, but we specify only the first, because
+% the second and third are filled in by maplist.
+
+?- maplist(plus(1), [2,3,4], Output). % Output = [3, 4, 5].
+```
+
+##Ready For More?
+
+* [SWI-Prolog](http://www.swi-prolog.org/)