:- 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]).