Programming Languages for Intelligent Systems (CM2008)

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Programming Languages for Intelligent Systems (CM2008). Lecture on Prolog #3 Recursion & List. http://www.comp.rgu.ac.uk/staff/khui/teaching/cm2008. Content. A quick reminder Arithmetic Operations Some Built-in Predicates Recursion List. Previously. Unification - PowerPoint PPT Presentation

Transcript of Programming Languages for Intelligent Systems (CM2008)

Programming Languages for Intelligent Systems

(CM2008)

Lecture on Prolog #3Recursion & List

http://www.comp.rgu.ac.uk/staff/khui/teaching/cm2008

Content

A quick reminder Arithmetic Operations Some Built-in Predicates Recursion List

Previously... Unification

making 2 terms identical by substituting variables

Resolution resolving a goal into subgoals depth-first search

Backtracking at an OR node, if a branch fails, automatically tr

y another branch

Arithmetic Operations Prolog has some built-in arithmetic operators:

+ - * / mod to "get" a value from an expression into a

variable "=" only tests for unification

it does not evaluates the expression only works when the expression is already evaluated

examples:?- X=1+2.X=1+2Yes

a term structure,

NOT evaluated

The is/2 Predicate use is/2 to assign value to a variable

variable must be uninstantiated examples:

?- is(X,1+2).

X=3

Yes

?- X is 1+2.

X=3

Yes

is/2 used as an infix operator

evaluates1+2

Assignment or Not?

is/2 is NOT an assignment it is evaluation + unification there is NO destructive

assignment in Prolog you unify variables with

values/terms created from other terms

The ==/2 Predicate test for equality of 2 terms examples:

?- ==(X,X).X=_G123Yes?- X==Y.No?- X=Y.X=_G456Y=_G456Yes

X identical to the variable X

X and Y are 2 different

variables, even though they can

be unified

X and Y can be unified

The =:=/2 Predicate evaluate expressions before

comparing examples:

?- 1+2=1+2.Yes?- 1+2=2+1.No?- 1+2=:=2+1.Yes

terms can be unified

terms CANNOT be

unified

values are equal

Recursion

“something” defined on itself i.e. coming back

the concept applies to predicates/ functions (e.g. in LISP)

Recursive Function Example the factorial function

N! = 1 × 2 × … × N e.g.

3!=1 ×2 ×3 =6 OR recursively defined as

if N=0 then N!=1 if N>0 then N!=N ×(N-1)!

e.g. 3!=3 ×2!=3 ×(2 × 1!)=3 ×(2 ×(1 ×0!)) =3 ×(2 ×(1 ×1))=6

The fact/2 Predicate

define the factorial function as a predicate fact/2:

fact(N,X) relates N with N! (i.e. X)

Implementation of fact/2

fact(0,1). %0!=1

fact(N,Ans) :-

N>0, %N>0

integer(N), %integer

M is N-1, %M is N-1

fact(M,Temp), %get Y=M!

Ans is Temp*N. %N!=N*(N-1)!

A Trace of fact/2

fact(3,X)?

fact(2,X2)?

fact(1,X3)?

fact(0,X4)?

θ={X4=1}

X4=1

X3=1

X2=2

X=6

X4=1

The ancestor/2 Predicate logical meaning:

case 1: X is the ancestor of Y if X is a parent of Y case 2: X is the ancestor of Y if X is the parent of

Someone, and Someone is the ancestor of Y implementation:

ancestor(X,Y) :- parent(X,Y).ancestor(X,Y) :- parent(X,Z), ancestor(Z,Y).

The Classic Tower of Hanoi Problem

1 disc at a time no big disc above small disc must move top disc

The Tower of Hanoi Problem Predicate

define a predicate:hanoi(N,Start,End,Aux)

a tower of N disc start from Start pole end in End pole auxiliary pole Aux

gives instructions of moving a tower of N disc from Start to End with auxiliary pole Aux

Implementation of hanoi/4

hanoi(1,Start,End,_) :- write('move disc from '), write(Start), write(' to '), write(End), nl. logical meaning:

if there is only 1 level, move disc from pole Start to End

Implementation of hanoi/4 (cont’d)hanoi(N,Start,End,Aux) :- N>0, M is N-1, hanoi(M,Start,Aux,End), write('move disc from '), write(Start), write(' to '), write(End),nl, hanoi(M,Aux,End,Start). logical meaning:

if there are N levels & N>0, then: move N-1 levels from Start to Aux move disc from Start to End move N-1 levels back from Aux to End

A Trace of hanoi/4

hanoi(3,a,b,aux)

hanoi(2,a,aux,b) hanoi(2,aux,b,a)

hanoi(1,a,b,aux)

hanoi(1,b,aux,a)

hanoi(1,aux,a,b)

hanoi(1,a,b,aux)

move discfrom a to b

move discfrom a to aux

move discfrom aux to b

General Guideline for Writing Recursive Predicates there must be at least:

a special/base case: end of recursion a general case: reduce/decompose a

general case into smaller cases (special case) there must be some change in arguments

(values) when you make a recursive call decompose problem in each recursive call get closer to special/base case otherwise the problem (goal) is not reduced

General Guidelines for Writing Recursive Predicates (cont'd) the predicate relates the arguments it works as a black-box

assume that the predicate is implemented correctly

if you provide these arguments, here is the effect

although you haven't completed it yet state how the general case is related

to simpler cases (closer to special/base case)

List a linearly ordered collection of items syntactically:

surrounded by square brackets list elements separated by commas e.g. [john,mary,sue,tom] e.g. [a,b,c,d]

may contain any number of elements or no element

[] is the empty list

List (cont’d) the empty list [] has no head/tail?- []=[_|_].No

a singleton list has only 1 element its tail is an empty list?- [a]=[X|Y].X=aY=[]Yes

Lists vs Arrays

no fixed size each item can be of different types,

even nested term structures/list e.g. [john,mary,20.0, date(10,may,2004)]

e.g. [a,[1,2,3],b,[c,d]] you may not directly access an element

by its index you can use unification, however

Head & Tail of a List a list is a structured data each list has a:

head: 1st element of the list tail: rest of the list

a list can be expressed as[Head|Tail]

Note: Head is an element Tail is a list

List (cont’d)

is a term has the functor “.” 2 arguments

the head & the tail a list with >1 element can be

written as a nested term

List Examples?- [a,b,c]=[X,Y,Z].X=aY=bZ=cYes

?- [a,b,c]=[_,_,X].X=cYes

?- [a,b,c] = [X|Y].X=aY=[b,c]Yes?- [a,b,c]=[_|[X|Y]].

X=bY=[c]Yes?- [a,b,c]=[_,_|X].X=[c]Yes

A List as a Nested Term

[1,2,3,4] =[1|[2,3,4]] =[1|[2|[3,4]]] =[1|[2|[3|[4]]]] =[1|[2|[3|[4|[]]]]]

1

2

3

4

.

.

.

.

[]

List Examples (cont’d)

[a,b,c,x(y,z)] =[a|[b,c,x(y,z)]] =[a|[b|[c,x(y,z)]]] =[a|[b|[c|[x(y,z)]]]] =[a|[b|[c|[x(y,z)]]]]

a

b

c

x

.

.

.

.

[]

y z

List Examples (cont’d)

[date(2,april,2004),time(9,20,32)] =[date(2,april,2004)|

[time(9,20,32)]] =[date(2,april,2004)|

[time(9,20,32)|[]]]date

9 32

2

.

time20

april2004

.

[]

The member/2 Predicate member(X,L)

is true if X is an element of list L examples:?- member(a,[a,b,c]).Yes?- member(c,[a,b,c]).Yes

Other Ways of using member/2

?- member(X,[a,b,c]).X=a;X=b;X=c;no?- member(a,List).List=[a|_123];List=[_456,a|_789];…

tell me the list which has 'a' as

an element

tell me who is an element of the list [a,b,c]

Implementation of member/2

member(X,[X|_]).

member(X,[_|Tail]) :-

member(X,Tail). logical meaning:

X is a member of a list if it is the head.

OR X is a member of a list if it is a member of the tail.

A Trace of member/2

member(c,[a,b,c])?

member(c,[a,b,c])=member(c,[c|_])?FAIL!

member(c,[a,b,c])=member(X,[_|Tail])?

member(c,[b,c])?Ө={X=c,_=a,Tail=[b,c]}

member(c,[b,c])=member(c,[c|_])?FAIL!

member(c,[b,c])=member(X2,[_|Tail2])?

Ө={X2=c,Tail2=[c]} member(c,[c])?

member(c,[c])=member(X3,[X3|_])

Ө={X3=c,_=[]}

try R1 try R2

try R2try R1

try R1

append/3 appends 2 lists together (gives a 3rd list) examples:?- append([a,b],[x,y],Result).

Result=[a,b,x,y]

Yes

?- append([a,b,c],[],Result).

Result=[a,b,c]

Yes

Implementation of append/3

append([],L,L).append([H|T],L2,[H|Rest]) :- append(T,L2,Rest). logical meaning:

appending an empty list to a list L gives L appending a list L1 to L2 gives a list

whose head is the head of L1 and the tail is the resulting of append the tail of L1 to L2

String in Prolog

double quoted single quoted is an atom

a String is a list of integers (ASCII code)

example:?- S="hello".

S=[104,101,108,108,111]

Yes

Converting between String & Atom

use name/2 example:?- S="hello",name(X,S).

S=[104,101,108,108,111]

X=hello

Yes

Summary

a recursive predicate defines on itself always has a special (base) case & a

general case breaks down/decomposes a problem

(goal) in each recursive call a list

is a structure consists of a head & a tail

Readings

Bratko, chapter 3