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yap-6.3/packages/CLPBN/clpbn/bp/examples/city.yap
2012-04-18 02:57:24 +01:00

108 lines
2.2 KiB
Prolog

:- use_module(library(pfl)).
:- clpbn_horus:set_solver(fove).
%:- clpbn_horus:set_solver(hve).
%:- clpbn_horus:set_solver(bp).
%:- clpbn_horus:set_solver(cbp).
:- multifile people/2.
:- multifile ev/1.
people(joe,nyc).
people(p2, nyc).
people(p3, nyc).
people(p4, nyc).
people(p5, nyc).
%ev(descn(p2, t)).
ev(descn(p3, t)).
ev(descn(p4, t)).
ev(descn(p5, t)).
bayes city_conservativeness(C)::[y,n] ; cons_table(C) ; [people(_,C)].
bayes gender(P)::[m,f] ; gender_table(P) ; [people(P,_)].
bayes hair_color(P)::[t,f], city_conservativeness(C) ; hair_color_table(P) ; [people(P,C)].
bayes car_color(P)::[t,f], hair_color(P) ; car_color_table(P); [people(P,_)].
bayes height(P)::[t,f], gender(P) ; height_table(P) ; [people(P,_)].
bayes shoe_size(P):[t,f], height(P) ; shoe_size_table(P); [people(P,_)].
bayes guilty(P)::[y,n] ; guilty_table(P) ; [people(P,_)].
bayes descn(P)::[t,f], car_color(P), hair_color(P), height(P), guilty(P) ; descn_table(P) ; [people(P,_)].
bayes witness(C)::[t,f], descn(Joe), descn(P2) ; wit_table ; [people(_,C), Joe=joe, P2=p2].
% FIXME
%cons_table(amsterdam, [0.2, 0.8]) :- !.
cons_table(_, [0.8, 0.2]).
gender_table(_, [0.55, 0.45]).
hair_color_table(_,
/* conservative_city */
/* y n */
[ 0.05, 0.1,
0.95, 0.9 ]).
car_color_table(_,
/* t f */
[ 0.9, 0.2,
0.1, 0.8 ]).
height_table(_,
/* m f */
[ 0.6, 0.4,
0.4, 0.6 ]).
shoe_size_table(_,
/* t f */
[ 0.9, 0.1,
0.1, 0.9 ]).
guilty_table(_, [0.23, 0.77]).
descn_table(_,
/* color, hair, height, guilt */
/* ttttt tttf ttft ttff tfttt tftf tfft tfff ttttt fttf ftft ftff ffttt fftf ffft ffff */
[ 0.99, 0.5, 0.23, 0.88, 0.41, 0.3, 0.76, 0.87, 0.44, 0.43, 0.29, 0.72, 0.23, 0.91, 0.95, 0.92,
0.01, 0.5, 0.77, 0.12, 0.59, 0.7, 0.24, 0.13, 0.56, 0.57, 0.71, 0.28, 0.77, 0.09, 0.05, 0.08]).
wit_table([0.2, 0.45, 0.24, 0.34,
0.8, 0.55, 0.76, 0.66]).
runall(G, Wrapper) :-
findall(G, Wrapper, L),
execute_all(L).
execute_all([]).
execute_all(G.L) :-
call(G),
execute_all(L).
is_joe_guilty(Guilty) :-
witness(nyc, t),
runall(X, ev(X)),
guilty(joe, Guilty).
% ?- is_joe_guilty(Guilty)