cs4026 formal models of computation part ii the logic model lecture 5 – lists
TRANSCRIPT
CS4026Formal Models of
ComputationPart II
The Logic ModelLecture 5 – Lists
formal models of computation 2
Lists• Data structure for non-numeric
programming.• A sequence of any number of items.• The items can be any Prolog term
(including nested lists!).• Useful when we don’t know in advance
how many items we are going to have.• Flexible and generic.• In Prolog, a list is represented as a
sequence of terms, separated by commas and within “[…]”:[123,hello,Var1,p(a,X),[1,2,3]]
formal models of computation 3
Types in lists: Haskell vs Prolog• In Haskell, for every type t there is a type [t]
for lists whose elements are of type t• In Haskell, every list must have type [t] (for
some t), and hence all its elements must be of the same type
• So you can’t for instance have a list, some of whose elements have type int and some of whose elements have type [int], e.g. [1,[2,3],4]
• Prolog places no restrictions on what elements of lists can be
• Less restrictive, but you lose the advantages of type checking
formal models of computation 4
Lists• Lists are ordinary Prolog terms.• The notation […] is just a shorthand:
[1,2,3] .(1,.(2,.(3,[]))) • Lists are thus represented internally as trees:• N.B.: the last element is always the empty list []
.
1
2
3 []
.
.
formal models of computation 5
Lists• Lists are recursively defined as:
– The empty list []; or– A term followed by a list.
• Lists can enter queries:
.
1
2
3 []
.
.
?- List = [1,2,3].List = [1,2,3]yes
?-
formal models of computation 6
Lists (Cont’d)• Prolog provides a notation for manipulating
lists.• The notation is [H|T], a shortand for .(H,T)
– H stands for the first element of the list.– T stands for the remaining elements of the list
and must be a list.• We can build and decompose lists with [H|T]:?- List = [1,2,3], List = [A|B].
A = 1,B = [2,3],List = [1,2,3]
?- List = [A|B], A = 1, B = [2,3].A = 1,B = [2,3],List = [1,2,3]
formal models of computation 7
Lists (Cont’d)• The [H|T] notation allows for variations:
– [E1,E2|T] (a list with at least 2 elements)– [1|[2,3|T]] (a list [1,2,3|T])
• [H|T] is also a term, hence a tree:
?- List = [A|B], A = 1, B = [2,3].A = 1,B = [2,3],List = [1,2,3]
List
A B
.
[]
2
.
3
.
1
formal models of computation 8
Haskell vs Prolog list notations
Haskell Prolog
[1,2,3] [1,2,3]
[] []
x:xs [X|Xs] or .(X,Xs)
1:2:xs [1,2|Xs]
formal models of computation 9
Operations on Lists• We can access elements from the front of a
list• We can add elements to the front of a list:
?- L = [2,3], NewL = [1|L]L
[]
2
.
3
. 1
.
NewL
formal models of computation 10
Programming with Lists• Because of their recursive definition, lists are
naturally manipulated with recursive programs.
• Let’s revisit our first loop program:– Enable it to build a list with values typed inloop(L):- % a loop to create a list L
L = [X|Xs], % List L has form [X|Xs]
read(X), % X is read from the standard Input (keyboard)
X \= end, % if input different from “end” then
loop(Xs). % build the tail recursively
loop([]). % if input is “end”, then List is empty.
?- loop(MyList).
|: a.
|: b.
|: end.
MyList = [a,b]
An argument is required to return the value of the list built
formal models of computation 11
Programming with Lists (Cont’d)• Its execution:
loop(L):-
L = [X|Xs],
read(X),
X \= end,
loop(Xs).
loop([]).
?- loop(MyList).
loop(L1):-
L1 = [X1|Xs1],
read(X1),
X1 \= end,
loop(Xs1).loop(L2):-
L2 = [X2|Xs2],
read(X2),
X2 \= end,
loop(Xs2).
a
L1
Xs1X1
.
b
L2
Xs2X2
.
loop(L3):-
L3 = [X3|Xs3],
read(X3),
X3 \= end,
loop(Xs3). end
L3
Xs3X3
.loop(L3):-
L3 = [X3|Xs3],
read(X3),
X3 \= end,
loop(Xs3).
?- loop(MyList).
|: a.
?- loop(MyList).
|: a.
|: b.
?- loop(MyList).
|: a.
|: b.
|: end.
formal models of computation 12
Programming with Lists (Cont’d)• Its execution:
loop(L):-
L = [X|Xs],
read(X),
X \= end,
loop(Xs).
loop([]).
loop(L1):-
L1 = [X1|Xs1],
read(X1),
X1 \= end,
loop(Xs1).loop(L2):-
L2 = [X2|Xs2],
read(X2),
X2 \= end,
loop(Xs2).
a
L1
Xs1X1
.
b
L2
Xs2X2
.
loop([]). []
?- loop(MyList).
|: a.
|: b.
|: end.
?- loop(MyList).
|: a.
|: b.
|: end.
MyList = [a,b]
formal models of computation 13
Programming with Lists (Cont’d)• To check if an element appears in a list:
– Check if element is the head;– Otherwise, check if element appears in tail
• This formulation is guaranteed to stop because lists are finite (!) and the process breaks list apart;
• In Prolog (first formulation):member(X,List):- % X is a member of List
List = [Y|Ys], % if List is of form [Y|Ys]
X = Y. % and X is equal to Y
member(X,List):- % otherwise (if not as above)
List = [Y|Ys], % break the list apart
member(X,Ys). % and check if X appears in Ys
formal models of computation 14
Programming with Lists (Cont’d)• Second formulation:
member(X,[Y|Ys]):- % X is a member of [Y|Ys]
X = Y. % if X is equal to Y
member(X,[Y|Ys]):- % otherwise (if not as above)
member(X,Ys). % check if X appears in Ys
formal models of computation 15
Programming with Lists (Cont’d)• Third (final) formulation:
• General point: Uses of the built-in predicate = can almost always be replaced more elegantly with pattern-matching in the head of a clause.
member(X,[X|_]). % X is member if it is head of list
member(X,[_|Ys]):- % otherwise (if not as above)
member(X,Ys). % check if X appears in Ys
formal models of computation 16
Prolog vs Haskell
• Cf Haskellmember :: a -> [a] -> Boolmember x [] = Falsemember x (y:ys) = (x==y) || (member x ys)
• Note: [] case
member(X,[X|_]). member(X,[_|Ys]) :- member(X,Ys).
formal models of computation 17
Programming with Lists (Cont’d)• Let’s run the previous program:
member(X,[X|_]).
member(X,[_|Ys]):-
member(X,Ys).
?- member(3,[1,2,3]).
The query member(3,[1,2,3])does not match the 1st clause!!Prolog matches member(3,[1,2,3])with head of 2nd clause:
member(X1,[_|Ys1]):- member(X1,Ys1)
We thus get the values for the variables: {X1/3, Ys1/[2,3]}
Prolog now tries to prove member(X1,Ys1) that is
member(3,[2,3])The goal member(3,[2,3])does not match the 1st clause!!
Prolog matches member(3,[2,3])with head of 2nd clause:
member(X2,[_|Ys2]):- member(X2,Ys2)
We thus get the values for the variables: {X2/3, Ys2/[3]}
Prolog now tries to prove member(X2,Ys2) that is
member(3,[3])
The query member(3,[3])matches the 1st clause!!
?- member(3,[1,2,3]).
yes
?-
formal models of computation 18
Programming with Lists (Cont’d)• Member program can be run in two ways:
1. To check if an element occurs in a list;2. To obtain the elements of a list, one at a time
• It depends on the query – the program is exactly the same!!
• To obtain the elements of a list, we query:member(Elem,[1,2,3])
– We then get in Elem, the different elements
?- member(Elem,[1,2,3]).?- member(Elem,[1,2,3]).
Elem = 1 ?
?- member(Elem,[1,2,3]).
Elem = 1 ? ;
Elem = 2 ?
?- member(Elem,[1,2,3]).
Elem = 1 ? ;
Elem = 2 ? ;
Elem = 3 ?
?- member(Elem,[1,2,3]).
Elem = 1 ? ;
Elem = 2 ? ;
Elem = 3 ? ;
no
?-
Can you trace this query?
formal models of computation 19
Ys
[]
a
.
b
.
Xs
[]
1
.
2
.
Zs
Programming with Lists (Cont’d)• To concatenate two lists Xs and Ys:
– Create a 3rd list Zs by copying all elements of Xs,– When we get to the end of Xs, put Ys as the tail of
Zs• Diagrammatically:
1
2
.
.
formal models of computation 20
Programming with Lists (Cont’d)• We need a predicate with 3 arguments:
– 1st argument is the list Xs– 2nd argument is the list Ys– 3rd argument is the concatenation Xs.Ys (in this
order)• The first list Xs will control the loop • As the first list Xs is traversed, its elements
are copied onto the 3rd argument (the concatenation).
• When we get an empty list, we stop and make Ys the value of the 3rd argument
formal models of computation 21
Programming with Lists (Cont’d)• First attempt:
• A more compact format:
append([],Ys,Zs):- % if Xs is empty,
Zs = Ys. % then Zs is Ys
append([X|Xs],Ys,[Z|Zs]):- % otherwise
X = Z, % copy X onto 3rd argument
append(Xs,Ys,Zs). % carry on recursively
append([],Ys,Ys). % if Xs empty, then Zs is Ys
append([X|Xs],Ys,[X|Zs]):- % else copy X onto 3rd arg.
append(Xs,Ys,Zs). % carry on recursively
formal models of computation 22
Programming with Lists (Cont’d)• Execution:append([],Ys,Ys).
append([X|Xs],Ys,[X|Zs]):-
append(Xs,Ys,Zs).
?- append([1,2],[a,b],Res).
append([X1|Xs1],Ys1,[X1|Zs1]):-
append(Xs1,Ys1,Zs1).
append([X1|Xs1],Ys1,[X1|Zs1]):-
append(Xs1,Ys1,Zs1).
{X1/1,Xs1/[2],Ys1/[a,b]}
append([X1|Xs1],Ys1,[X1|Zs1]):-
append(Xs1,Ys1,Zs1).
{X1/1,Xs1/[2],Ys1/[a,b]}
append([X2|Xs2],Ys2,[X2|Zs2]):-
append(Xs2,Ys2,Zs2).
append([X2|Xs2],Ys2,[X2|Zs2]):-
append(Xs2,Ys2,Zs2).
{X2/2,Xs2/[],Ys2/[a,b]}
append([X2|Xs2],Ys2,[X2|Zs2]):-
append(Xs2,Ys2,Zs2).
{X2/2,Xs2/[],Ys2/[a,b]}
aliasing: Zs1/[X2|Zs2]
append([],Ys3,Ys3).append([],Ys3,Ys3).
{Ys3/[a,b]}
aliasing: Zs2/Ys3
?- append([1,2],[a,b],Res).
Res = [1,2,a,b] ?
yes
?-
aliasing: Res/[X1|Zs1]
formal models of computation 23
Programming with Lists (Cont’d)• Execution:append([],Ys,Ys).
append([X|Xs],Ys,[X|Zs]):-
append(Xs,Ys,Zs).
append([X2|Xs2],Ys2,[X2|Zs2]):-
append(Xs2,Ys2,Zs2).
{X2/2,Xs2/[],Ys2/[a,b]}
append([X1|Xs1],Ys1,[X1|Zs1]):-
append(Xs1,Ys1,Zs1).
{X1/1,Xs1/[2],Ys1/[a,b]}
append([],Ys3,Ys3).
{Ys3/[a,b]}
?- append([1,2],[a,b],Res).
Res = [1,2,a,b] ?
yes
?-
1
Res
Zs1X1
.
2
Zs2X2
.
a
.
b
.
[]
formal models of computation 24
“Reversible definitions” in Prolog• As with “member”, “append” can be used in
different ways, e.g.
?- append([a,b,c],[d],X).?- append(X,[a,b,l,e],[e,a,t,a,b,l,e]).?- append([e,a,t],X,[e,a,t,a,b,l,e]).?- append(X,Y,[e,a,t,a,b,l,e]).
• Each of these would require a different function/method definition in Haskell/Java…