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yap-6.3/packages/ProbLog/problog/ad_converter.yap
2011-09-15 15:49:06 +01:00

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%%% -*- Mode: Prolog; -*-
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% $Date: 2011-08-19 13:13:56 +0200 (Fri, 19 Aug 2011) $
% $Revision: 6471 $
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% This file is part of ProbLog
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% Copyright 2009
% Angelika Kimmig, Vitor Santos Costa, Bernd Gutmann
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% Main authors of this file:
% Bernd Gutmann
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%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
:- module(ad_converter,[term_expansion_intern_ad/4,
op(1149, yfx, <-- ),
op( 550, yfx, :: )
]).
% general yap modules
:- use_module(library(lists),[member/2,append/3]).
:- use_module(flags).
:- style_check(all).
:- yap_flag(unknown,error).
:- discontiguous user:(<--)/2, problog:(<--)/2.
:- discontiguous user:myclause/1, problog:myclause/1. % notation of ADs in LFI-ProbLog
:- op( 550, yfx, :: ).
% for annotated disjunctions
:- op(1149, yfx, <-- ).
:- initialization(problog_define_flag(show_ad_compilation,problog_flag_validate_boolean,'show compiled code for ADs',false,annotated_disjunctions)).
:- initialization(problog_define_flag(ad_cpl_semantics,problog_flag_validate_boolean,'use CP-logics semantics for ADs',true,annotated_disjunctions)).
:- initialization(problog_define_flag(ad_sumto1_learning,problog_flag_validate_boolean,'make p_i sum to 1 for learning',true,annotated_disjunctions)).
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% term_expansion_intern_ad( +AD, +Module, +Mode, -ListOfAtoms)
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
:- bb_put(ad_converter_unique_id,1).
term_expansion_intern_ad((Head<--Body), Module, Mode, [user:ad_intern((Head<--Body),ID,Aux_Facts)|Result]) :-
% the internal ID for the annotated disjunction
bb_get(ad_converter_unique_id,ID),
ID2 is ID+1,
bb_put(ad_converter_unique_id,ID2),
% if CPL semantics is on we need to add all body variables to the
% auxilliary probabilistic facts to ensure that each grounding
% of an AD "triggers" a new CP event
(
problog_flag(ad_cpl_semantics,true) ->
term_variables(Body,Body_Vars)
;
Body_Vars=[]
),
% construct the auxilliary facts we need to represent the AD
(
% if it's a tunable AD create tunable auxilliary facts
proper_tunable_ad_head(Head) ->
create_tunable_ad_aux_facts(Head,Body_Vars,ID,1,Aux_Facts)
;
% if it's a regular AD create auxilliary facts
proper_ad_head(Head,0.0) ->
create_ad_aux_facts(Head,Body_Vars,ID,1,0.0,Aux_Facts)
;
% neither nor, let's complain
throw(error(invalid_annotated_disjunction,(Head<--Body)))
),
% call term_expansion for the aux facts, this has the same effect
% as if the use had defined the facts in the original file
findall(problog:Atom,(
member(F,Aux_Facts),
once(problog:term_expansion_intern(F,Module,Atom))
),Result_Atoms),
% construct the auxilliary clauses
create_aux_bodies(Head,Body_Vars,Body,ID,1,Aux_Facts,Mode,Aux_Clauses),
(
Mode==lfi_learning ->
findall(Module:myclause(H,B),member((H:-B),Aux_Clauses),Result,Result_Atoms)
;
findall(Module:B,member(B,Aux_Clauses),Result,Result_Atoms)
),
(
problog_flag(show_ad_compilation,true)
->
(
format('Compiling the annotated disjunction~n ~q~ninto the following code~n',[(Head<--Body)]),
format('================================================~n',[]),
forall(member(F,Aux_Facts),format(' ~q.~n',[F])),
format(' - - - - - - - - - - - - - - - - - - - - - - ~n',[]),
forall(member(B,Aux_Clauses),format(' ~q.~n',[B])),
format('================================================~2n',[])
);
true
).
term_expansion_intern_ad( (Head<--Body),_,_) :-
format_to_chars('Error at compiling the annotated disjunction ~q<--Body.',[Head,Body],Error),
print_message(error,Error),
fail.
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% proper_ad_head(+Head, +Acc)
%
% this predicate succeeds if Head is valid disjunction
% of probabilistic facts as used in the head of an AD
% in particular, it checks that all probabilities are
% valid and the sum does not exceed 1.0
%
% if will throw an exception if any of the probabilties P
% P::A
% can not be evaluated using is/2
%
% ?- proper_ad_head( 0.1::a, 0.1).
% yes
% ?- proper_ad_head( (0.1::a,0.8::b), 0.1).
% no
% ?- proper_ad_head( (0.1::a;0.8::b), 0.1).
% yes
% ?- proper_ad_head( (0.1::a;0.8::b;0.2::c), 0.1).
% no
% ?- proper_ad_head( (0.1::a;0.4::true), 0.1).
% no
% ?- ad_converter:proper_ad_head( (1/2::a;0.4::foo(X)), 0.1).
% true
% ?- ad_converter:proper_ad_head( (goo::a;0.4::foo(X)), 0.1).
% ERROR at clause 2 of ad_converter:proper_ad_head/2 !!
% TYPE ERROR
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
proper_ad_head( P :: A, Acc) :-
P>=0.0,
P+Acc=<1.0,
\+ var(A),
\+ system_predicate(_,A),
once((atom(A);compound(A))).
proper_ad_head((P :: A;T),Acc) :-
\+ var(A),
\+ system_predicate(_,A),
once((atom(A);compound(A))),
P>=0.0,
Acc2 is P+Acc,
proper_ad_head(T,Acc2).
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% proper_tunable_ad_head(+Head)
%
% this predicate succeeds if Head is valid disjunction of
% tunable probabilistic facts as used in the head of an AD
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
proper_tunable_ad_head( t(_)::A ) :-
\+ var(A),
\+ system_predicate(_,A),
once((atom(A);compound(A))).
proper_tunable_ad_head( ( t(_)::A ;T) ) :-
\+ var(A),
\+ system_predicate(_,A),
once((atom(A);compound(A))),
proper_tunable_ad_head(T).
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% create_mws_atom(+Atom,+Body_Vars,+ID,+Pos,-A2)
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
create_mws_atom(A,Body_Vars,ID,Pos,A2) :-
A =.. [_F|Args],
append(Args,Body_Vars,Args2),
atomic_concat([mvs_fact_,ID,'_',Pos],F2),
A2 =.. [F2|Args2].
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% create_ad_aux_facts(+Head,+Vars,+ID,+POS,+Acc,-Facts)
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
create_ad_aux_facts(P::_, _, _, _, Acc, []) :-
% if the probabilities in the head of the AD
% sum up to 1.0 drop the last aux fact
abs(Acc+P-1.0) < 0.0000001,
!.
create_ad_aux_facts(P::Atom, Body_Vars, ID, Pos, Acc, [P1::ProbFact]) :-
create_mws_atom(Atom,Body_Vars,ID,Pos,ProbFact),
(
(P=:=0; Acc=:=0)->
P1 is P
;
P1 is min(P/(1-Acc),1.0)
).
create_ad_aux_facts((P::Atom;T), Body_Vars, ID, Pos, Acc, [P1::ProbFact|T2]) :-
create_mws_atom(Atom,Body_Vars,ID,Pos,ProbFact),
(
(P=:=0; Acc=:=0)->
P1 is P
;
P1 is min(P/(1-Acc),1.0)
),
Acc2 is Acc+P,
Pos2 is Pos+1,
create_ad_aux_facts(T,Body_Vars,ID,Pos2,Acc2,T2).
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
create_tunable_ad_aux_facts(t(_)::_,_,_,Pos,[]) :-
Pos>1,
problog_flag(ad_sumto1_learning,true),
!.
create_tunable_ad_aux_facts(t(_)::Atom,Body_Vars,ID,Pos,[t(_)::ProbFact]) :-
create_mws_atom(Atom,Body_Vars,ID,Pos,ProbFact).
create_tunable_ad_aux_facts((t(_)::Atom;T),Body_Vars,ID,Pos,[t(_)::ProbFact|T2]) :-
create_mws_atom(Atom,Body_Vars,ID,Pos,ProbFact),
Pos2 is Pos+1,
create_tunable_ad_aux_facts(T,Body_Vars,ID,Pos2,T2).
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
create_aux_bodies(_::Atom, Body_Vars, Body, ID, Pos, Aux_Facts , _, [(Atom:-Body2)]) :-
create_mws_atom(Atom,Body_Vars,ID,Pos,ProbFact),
(
member(_::ProbFact,Aux_Facts)->
tuple_append(Body,ProbFact,Body2)
;
Body2=Body
).
create_aux_bodies((_::Atom; T), Body_Vars, Body, ID, Pos, Aux_Facts , Mode, [(Atom:-Body2)|T2]) :-
create_mws_atom(Atom,Body_Vars,ID,Pos,ProbFact),
tuple_append(Body,ProbFact,Body2),
(
Mode==lfi_learning ->
tuple_append(Body,\+ProbFact,Body3)
;
tuple_append(Body,problog_not(ProbFact),Body3)
),
Pos2 is Pos+1,
create_aux_bodies(T,Body_Vars,Body3,ID,Pos2,Aux_Facts,Mode,T2).
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
tuple_append(true,X,X) :-
!.
tuple_append(X,true,X) :-
!.
tuple_append((A,B),X,(A,B2)) :-
X \= true,
!,
tuple_append(B,X,B2).
tuple_append(X,Y,(X,Y)) :-
X \= true,
Y \= true,
X \= (_,_).