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yap-6.3/packages/CLPBN/examples/social_network2.pfl

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/*
Model from the paper "Lifted Inference Seen
from the Other Side: The Tractable Features"
*/
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:- use_module(library(pfl)).
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:- set_solver(hve).
%:- set_solver(ve).
%:- set_solver(jt).
%:- set_solver(bdd).
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%:- set_solver(bp).
%:- set_solver(cbp).
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%:- set_solver(gibbs).
%:- set_solver(lve).
%:- set_solver(lkc).
%:- set_solver(lbp).
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:- multifile person/1.
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person @ 5.
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person(X,Y) :-
person(X),
person(Y)
% ,X \== Y
.
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markov smokes(X) ; [1.0, 4.0552]; [person(X)].
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markov asthma(X) ; [1.0, 9.9742] ; [person(X)].
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markov friends(X,Y) ; [1.0, 99.48432] ; [person(X,Y)].
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markov asthma(X), smokes(X) ;
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[4.48169, 4.48169, 1.0, 4.48169] ;
[person(X)].
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markov asthma(X), friends(X,Y), smokes(Y) ;
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[3.004166, 3.004166, 3.004166, 3.004166, 3.004166, 1.0, 1.0, 3.004166] ;
[person(X,Y)].
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% ?- smokes(p1,t), smokes(p2,t), friends(p1,p2,X).
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