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yap-6.3/CLPBN/clpbn/examples/School/tables.yap

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:- use_module(library('clpbn/aggregates'),[cpt_average/5]).
int_table(_, [0.5,
0.4,
0.1],[h, m, l]).
grade_table(I, D,
/* h h h m h l m h m m m l l h l m l l */
p([a,b,c,d],
[ 0.2, 0.7, 0.85, 0.1, 0.2, 0.5, 0.01, 0.05,0.1 ,
0.6, 0.25, 0.12, 0.3, 0.6,0.35,0.04, 0.15, 0.4 ,
0.15,0.04, 0.02, 0.4,0.15,0.12, 0.5, 0.6, 0.4,
0.05,0.01, 0.01, 0.2,0.05,0.03, 0.45, 0.2, 0.1 ], [I,D])).
/*
A: professor's ability;
B: student's grade (for course registration).
*/
satisfaction_table(A, G,
/* h a h b h c h d m a m b m c m d l a l b l c l d */
p([h,m,l],
/*h*/ [0.98, 0.9,0.8 , 0.6, 0.9, 0.4, 0.2, 0.01, 0.5, 0.2, 0.01, 0.01,
/*m*/ 0.01, 0.09,0.15, 0.3,0.05, 0.4, 0.3, 0.04,0.35, 0.3, 0.09, 0.01 ,
/*l*/ 0.01, 0.01,0.05, 0.1,0.05, 0.2, 0.5, 0.95,0.15, 0.5, 0.9, 0.98], [A,G])).
% The idea is quite simple:
% hs = h -> r = ( 0.9, 0.1, 0)
% hs = m -> r = ( 0.2, 0.6, 0.2)
% hs = l -> r = ( 0, 0.1, 0.9)
%
% add all and divide on the number of elements on the table!
%
rating_prob_table([0.9,0.05,0.01,
0.09,0.9,0.09,
0.01,0.05,0.9]).
/*
build_sats_table(LSats, Key, Table) :-
cpt_average(LSats, Key, [h,m,l], AggTable),
{ V = tmp1(Key) with AggTable},
rating_prob_table(SatsTable),
Table = p([h,m,l], SatsTable, [V]).
*/
build_rating_table(LSats, Key, Table) :-
cpt_average(LSats, Key, [h,m,l], 0.95, Table).
build_grades_table(LGrades, Key, Table) :-
cpt_average(LGrades, Key, [a,b,c,d], 0.95, Table).
/*
build_grades_table(LGrades, Key, Table) :-
cpt_average(LGrades, Key, [a,b,c,d], AggTable),
{ V = tmp2(Key) with AggTable},
rating_prob_table(Tab),
Table = p([a,b,c,d], Tab, [V]).
*/
abi_table( _, [0.50, 0.40, 0.10]).
pop_table(_, [0.9, 0.2, 0.01,
0.09, 0.6, 0.09,
0.01, 0.2, 0.9]).
dif_table( _, [0.25, 0.50, 0.25]).