lecture 9b: prolog

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Lecture 9b: Prolog Heshaam Faili [email protected]. ac.ir University of Tehran The language of logic Concepts Examples

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Lecture 9b: Prolog. The language of logic Concepts Examples. Heshaam Faili [email protected] University of Tehran. History. Kowalski: late 60’s Logician who showed logical proof can support computation. - PowerPoint PPT Presentation

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Page 1: Lecture 9b:  Prolog

Lecture 9b: Prolog

Heshaam [email protected]

rUniversity of

Tehran

The language of logic

Concepts

Examples

Page 2: Lecture 9b:  Prolog

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History

Kowalski: late 60’s Logician who showed logical proof can support computation.

Colmerauer: early 70’s Developed early version of Prolog for natural language processing, mainly multiple parses.

Warren: mid 70’s First version of Prolog that was efficient.

Page 3: Lecture 9b:  Prolog

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Characteristics

Prolog approximates first-order logic. Every program is a set of Horn clauses. Inference is by resolution. Search is by backtracking with

unification. Basic data structure is term or tree. Variables are unknowns not locations. Prolog does not distinguish between

inputs and outputs. It solves relations/predicates.

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SWI-Prolog Notes Free! Down Loadable To load a file:

consult( ‘C:\\prolog\\test’). For help:

help(predicate-name). “ ; “ will give you next solution. ‘%’ comment listing(member) will give definition.

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Example

Facts: () likes(john,mary). likes(john,X). % Variables begin with

capital Queries

?- likes(X,Y). X=john, y=Mary. % hit “;” for more ?- likes(X,X). X=john.

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Example

Rules likes(john,X) :- likes(X,wine). % :- = if likes(john,X):- human(X), likes(X,john).

Note: variables are dummy. Standardized apart

Some Facts: likes(bill,wine). human(mary). human(sue).

Query: ? - likes(john,Y). Y = bill ; no.

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Family

father(a,b). father(e,d). mother(c,b). mother(d,f). parent(X,Y) :- father(X,Y). parent(X,Y) :- mother(X,Y). grandfather(X,Y):-

father(X,Z),parent(Z,Y).% Do your own for practice.

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Informal Summary

Program is facts + rules. (horn clauses).

Query = conjunct of predicates. First set of bindings for variables

that solve query are reported. If none, then Prolog returns no.

Use “;” to get other solutions. Can be viewed as constraint

satisfaction program.

Page 9: Lecture 9b:  Prolog

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MapColoring

color(r). color(g). color(b). colormap(C1,C2,C3):-

color(C1),color(C2),color(C3), C1\==C2,C1\==C3, C2\==C3.

Query: colormap(X,Y,Z). X = r, Y= g, Z=b.

Page 10: Lecture 9b:  Prolog

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Unification: (matching) terms

Two terms UNIFY if there is a common substitution for all variables which makes them identical.

f(g(X),Y) = f(Z,Z). % = cheap unification X = _G225, Y=g(_G225).

Look at parse tree for each term. variables match variable matches anything (set the binding) function symbols only match identical function

symbols.

Page 11: Lecture 9b:  Prolog

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Satisfiability: uses unification

sat(true). % base case sat(not(false)). % base case sat(or(X,Y)):- sat(X). sat(or(X,Y)):-sat(Y). sat(and(X,Y)):-sat(X),sat(Y).

test1(X,Y):- sat(and(not(X),X)). test2(X,Y):- sat(and(X,not(Y))).

Page 12: Lecture 9b:  Prolog

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List Operator [H |T]

[a,b,c] is a list in Prolog. [H|T] = [a,b,c] results in

H = a i.e. the head of list T = [b,c] i.e. the tail of the list.

membership definition member(H,[H|T]). % base case first.

Why? member(H,[_|T]) :- member(H,T). Use it.

Page 13: Lecture 9b:  Prolog

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Member Tests

?- member(3,X). X = [3| _G109].

% _G.., system generated variable X= [_G11,3| _]. % etc.

?- member(X,Y). X = _G131, Y= [_G131|, _G321].

Page 14: Lecture 9b:  Prolog

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Permutation & Insert

insert(X,L, [X|L]). insert(X,[H|T],[H|T1]):- insert(X,T,T1).

perm([],[]). perm([H|T],P):-

perm(T,T1),insert(H,T1,P).

Page 15: Lecture 9b:  Prolog

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DFS

% solve(goal, solution Path)% s(state, successor-state)dfs(N,[N]) :- goal(N).dfs(N,[N|Sol1]):- s(N,N1), dfs(N1,Sol1).

s(a,b). s(a,c). s(b,d). s(b,e). s(c,f).s(c,g). s(d,h). s(e,i). s(e,j). s(f,k).goal(i). goal(f).

?- dfs(a,N). N = [a, b, e, i] ; N = [a, c, f] ;

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Cut !

P :- a, b. P :- c.

P :- a, !, b.P :- c.

P (ab)c

P (ab)(a c)

Use to ignore backtracking: performance issue

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MAX

MAX(X,Y,X) :- X>=Y.MAX(X,Y,Y).

?- MAX(3,2,X).

X=3 ; X = 2 !!!!!

MAX(X,Y,X) :- X>=Y, !.MAX(X,Y,Y).

Page 18: Lecture 9b:  Prolog

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Factorial

factorial(0,1). factorial(N,F) :-

N>0, N1 is N-1, factorial(N1,F1), F is N * F1.

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Hanoi Tower move(1,X,Y,_) :-

write('Move top disk from '), write(X), write(' to '), write(Y), nl.

move(N,X,Y,Z) :- N>1, M is N-1, move(M,X,Z,Y), move(1,X,Y,_), move(M,Z,Y,X).

?- move(3,left,right,center). Move top disk from left to right Move top disk from left to center Move top disk from right to center Move top disk from left to right Move top disk from center to left Move top disk from center to right Move top disk from left to right yes

Page 20: Lecture 9b:  Prolog

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More examples

http://www.csupomona.edu/~jrfisher/www/prolog_tutorial/contents.html

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Limitations

2nd order: Can’t ask what is relationship between heart and lungs?

Probabilities: What is likelihood of fire destroying Julian?

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