353 lines
10 KiB
Prolog
353 lines
10 KiB
Prolog
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/************************************************
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BDDs in CLP(BN)
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A variable is represented by the N possible cases it can take
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V = v(Va, Vb, Vc)
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The generic formula is
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V <- X, Y
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Va <- P*X1*Y1 + Q*X2*Y2 + ...
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**************************************************/
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:- module(clpbn_bdd,
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[bdd/3,
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set_solver_parameter/2,
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init_bdd_solver/4,
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run_bdd_solver/3,
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finalize_bdd_solver/1,
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check_if_bdd_done/1
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]).
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:- use_module(library('clpbn/dists'),
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[dist/4,
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get_dist_domain/2,
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get_dist_domain_size/2,
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get_dist_params/2
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]).
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:- use_module(library('clpbn/display'),
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[clpbn_bind_vals/3]).
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:- use_module(library('clpbn/aggregates'),
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[check_for_agg_vars/2]).
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:- use_module(library(atts)).
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:- use_module(library(lists)).
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:- use_module(library(dgraphs)).
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:- use_module(library(bdd)).
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:- use_module(library(rbtrees)).
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:- attribute id/1.
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:- dynamic network_counting/1.
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check_if_bdd_done(_Var).
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bdd([[]],_,_) :- !.
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bdd([QueryVars], AllVars, AllDiffs) :-
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init_bdd_solver(_, AllVars, _, BayesNet),
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run_bdd_solver([QueryVars], LPs, BayesNet),
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finalize_bdd_solver(BayesNet),
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clpbn_bind_vals([QueryVars], [LPs], AllDiffs).
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init_bdd_solver(_, AllVars0, _, bdd(Term, Leaves)) :-
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check_for_agg_vars(AllVars0, AllVars1),
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sort_vars(AllVars1, AllVars, Leaves),
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rb_new(Vars0),
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rb_new(Pars0),
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get_vars_info(AllVars, Vars0, _Vars, Pars0, _Pars, Term, []).
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sort_vars(AllVars0, AllVars, Leaves) :-
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dgraph_new(Graph0),
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build_graph(AllVars0, Graph0, Graph),
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dgraph_leaves(Graph, Leaves),
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dgraph_top_sort(Graph, RAllVars),
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reverse(RAllVars, AllVars).
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build_graph([], Graph, Graph).
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build_graph(V.AllVars0, Graph0, Graph) :-
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clpbn:get_atts(V, [dist(_DistId, Parents)]), !,
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dgraph_add_vertex(Graph0, V, Graph1),
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add_parents(Parents, V, Graph1, GraphI),
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build_graph(AllVars0, GraphI, Graph).
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build_graph(_V.AllVars0, Graph0, Graph) :-
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build_graph(AllVars0, Graph0, Graph).
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add_parents([], _V, Graph, Graph).
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add_parents(V0.Parents, V, Graph0, GraphF) :-
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dgraph_add_edge(Graph0, V0, V, GraphI),
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add_parents(Parents, V, GraphI, GraphF).
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get_vars_info([], Vs, Vs, Ps, Ps) --> [].
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get_vars_info([V|MoreVs], Vs, VsF, Ps, PsF) -->
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{ clpbn:get_atts(V, [dist(DistId, Parents)]) }, !,
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[DIST],
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{ check_p(DistId, Parms, _ParmVars, Ps, Ps1),
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unbound_parms(Parms, ParmVars),
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check_v(V, DistId, DIST, Vs, Vs1),
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DIST = info(V, Tree, Ev, Values, Formula, ParmVars, Parms),
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get_parents(Parents, PVars, Vs1, Vs2),
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cross_product(Values, Ev, PVars, ParmVars, Formula0),
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get_evidence(V, Tree, Ev, Formula0, Formula)
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% (numbervars(Formula,0,_),writeln(formula:Formula), fail ; true)
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},
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get_vars_info(MoreVs, Vs2, VsF, Ps1, PsF).
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get_vars_info([_|MoreVs], Vs0, VsF, Ps0, PsF, VarsInfo) :-
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get_vars_info(MoreVs, Vs0, VsF, Ps0, PsF, VarsInfo).
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%
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% look for parameters in the rb-tree, or add a new.
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% distid is the key
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%
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check_p(DistId, Parms, ParmVars, Ps, Ps) :-
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rb_lookup(DistId, theta(Parms, ParmVars), Ps), !.
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check_p(DistId, Parms, ParmVars, Ps, PsF) :-
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get_dist_params(DistId, Parms0),
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length(Parms0, L0),
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get_dist_domain_size(DistId, Size),
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L1 is L0 div Size,
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L is L0-L1,
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initial_maxes(L1, Multipliers),
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copy(L, Multipliers, NextMults, NextMults, Parms0, Parms, ParmVars),
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rb_insert(Ps, DistId, theta(DistId, Parms, ParmVars), PsF).
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%
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% we are using switches by two
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%
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initial_maxes(0, []) :- !.
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initial_maxes(Size, [1.0|Multipliers]) :- !,
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Size1 is Size-1,
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initial_maxes(Size1, Multipliers).
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copy(0, [], [], _, _Parms0, [], []) :- !.
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copy(N, [], [], Ms, Parms0, Parms, ParmVars) :-!,
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copy(N, Ms, NewMs, NewMs, Parms0, Parms, ParmVars).
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copy(N, D.Ds, ND.NDs, New, El.Parms0, NEl.Parms, _.ParmVars) :-
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N1 is N-1,
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NEl is El/D,
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ND is D-El,
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copy(N1, Ds, NDs, New, Parms0, Parms, ParmVars).
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unbound_parms([], []).
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unbound_parms(_.Parms, _.ParmVars) :-
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unbound_parms(Parms, ParmVars).
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check_v(V, _, INFO, Vs, Vs) :-
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rb_lookup(V, INFO, Vs), !.
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check_v(V, DistId, INFO, Vs0, Vs) :-
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get_dist_domain_size(DistId, Size),
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length(Values, Size),
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length(Ev, Size),
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INFO = info(V, _Tree, Ev, Values, _Formula, _, _),
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rb_insert(Vs0, V, INFO, Vs).
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get_parents([], [], Vs, Vs).
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get_parents(V.Parents, Values.PVars, Vs0, Vs) :-
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clpbn:get_atts(V, [dist(DistId, _)]),
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check_v(V, DistId, INFO, Vs0, Vs1),
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INFO = info(V, _Parent, _Ev, Values, _, _, _),
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get_parents(Parents, PVars, Vs1, Vs).
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%
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% construct the formula, this is the key...
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%
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cross_product(Values, Ev, PVars, ParmVars, Formulas) :-
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arrangements(PVars, Arranges),
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apply_parents_first(Values, Ev, ParmCombos, ParmCombos, Arranges, Formulas, ParmVars).
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%
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% if we have the parent variables with two values, we get
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% [[XP,YP],[XP,YN],[XN,YP],[XN,YN]]
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%
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arrangements([], [[]]).
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arrangements([L1|Ls],O) :-
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arrangements(Ls, LN),
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expand(L1, LN, O, []).
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expand([], _LN) --> [].
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expand([H|L1], LN) -->
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concatenate_all(H, LN),
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expand(L1, LN).
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concatenate_all(_H, []) --> [].
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concatenate_all(H, L.LN) -->
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[[H|L]],
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concatenate_all(H, LN).
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%
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% core of algorithm
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%
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% Values -> Output Vars for BDD
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% Es -> Evidence variables
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% Previous -> top of difference list with parameters used so far
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% P0 -> end of difference list with parameters used so far
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% Pvars -> Parents
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% Eqs -> Output Equations
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% Pars -> Output Theta Parameters
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%
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apply_parents_first([Value], [E], Previous, [], PVars, [Value=Disj*E], Parameters) :- !,
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apply_last_parent(PVars, Previous, Disj),
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flatten(Previous, Parameters).
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apply_parents_first([Value|Values], [E|Ev], Previous, P0, PVars, (Value=Disj*E).Formulas, Parameters) :-
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P0 = [TheseParents|End],
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apply_first_parent(PVars, Disj, TheseParents),
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apply_parents_second(Values, Ev, Previous, End, PVars, Formulas, Parameters).
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apply_parents_second([Value], [E], Previous, [], PVars, [Value=Disj*E], Parameters) :- !,
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apply_last_parent(PVars, Previous, Disj),
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flatten(Previous, Parameters).
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apply_parents_second([Value|Values], [E|Ev], Previous, P0, PVars, (Value=Disj*E).Formulas, Parameters) :-
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apply_middle_parent(PVars, Previous, Disj, TheseParents),
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% this must be done after applying middle parents because of the var
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% test.
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P0 = [TheseParents|End],
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apply_parents_second(Values, Ev, Previous, End, PVars, Formulas, Parameters).
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apply_first_parent([Parents], Conj, [Theta]) :- !,
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parents_to_conj(Parents,Theta,Conj).
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apply_first_parent(Parents.PVars, Disj+Conj, Theta.TheseParents) :-
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parents_to_conj(Parents,Theta,Conj),
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apply_first_parent(PVars, Disj, TheseParents).
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apply_last_parent([Parents], Other, Conj) :- !,
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parents_to_conj(Parents,(Theta),Conj),
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skim_for_theta(Other, Theta, _, _).
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apply_last_parent(Parents.PVars, Other, Conj+Disj) :-
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parents_to_conj(Parents,(Theta),Conj),
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skim_for_theta(Other, Theta, Remaining, _),
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apply_last_parent(PVars, Remaining, Disj).
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apply_middle_parent([Parents], Other, Conj, [ThetaPar]) :- !,
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parents_to_conj(Parents,(Theta),Conj),
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skim_for_theta(Other, Theta, _, ThetaPar).
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apply_middle_parent(Parents.PVars, Other, Conj+Disj, ThetaPar.TheseParents) :-
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parents_to_conj(Parents,(Theta),Conj),
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skim_for_theta(Other, Theta, Remaining, ThetaPar),
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apply_middle_parent(PVars, Remaining, Disj, TheseParents).
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parents_to_conj([],Theta,Theta).
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parents_to_conj(P.Parents,Theta,Conj*P) :-
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parents_to_conj(Parents,Theta,Conj).
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%
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% first case we haven't reached the end of the list so we need
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% to create a new parameter variable
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%
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skim_for_theta([[P|Other]|V], New*not(P), [Other|_], New) :- var(V), !.
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%
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% last theta, it is just negation of the other ones
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%
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skim_for_theta([[P|Other]], not(P), [Other], _) :- !.
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%
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% recursive case, build-up
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%
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skim_for_theta([[P|Other]|More], Ps*not(P), [Other|Left], New ) :-
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skim_for_theta(More, Ps, Left, New ).
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get_evidence(V, Tree, Values, F0, F) :-
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clpbn:get_atts(V, [evidence(Pos)]), !,
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zero_pos(0, Pos, Tree, Values, F0, F).
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%% no evidence !!!
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get_evidence(_V, Tree, _Values, F0, (Tree=Outs).F0) :-
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get_outs(F0, Outs).
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zero_pos(_, _Pos, _Tree, [], [], []) :- !.
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zero_pos(Pos, Pos, Tree, 1.Values, [Tree=Vs|F], [Tree=Vs]) :-
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I is Pos+1,
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zero_pos(I, Pos, Tree, Values, F, []).
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zero_pos(I0, Pos, Tree, 0.Values, _.F, NF) :-
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I is I0+1,
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zero_pos(I, Pos, Tree, Values, F, NF).
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get_outs([V=_F], V) :- !.
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get_outs((V=_F).Outs, (V + F0)) :-
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get_outs(Outs, F0).
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run_bdd_solver([[V]], LPs, bdd(Term, Leaves)) :-
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build_out_node(Term, Leaves, Node),
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findall(Prob, get_prob(Term, Node, V, Prob),TermProbs),
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sumlist(TermProbs, Sum),
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normalise(TermProbs, Sum, LPs).
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build_out_node(Term, [Leaf], Top) :- !,
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find_exp(Leaf, Term, Top).
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build_out_node(Term, [Leaf|Leaves], Tops*Top) :-
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find_exp(Leaf, Term, Top),
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build_out_node(Term, Leaves, Tops).
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find_exp(Leaf, info(V, Top, _Ev, _Values, _Formula, _ParmVars, _Parms)._, Top) :-
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V == Leaf, !.
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find_exp(Leaf, _.Term, Top) :-
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find_exp(Leaf, Term, Top).
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get_prob(Term, Top, V, SP) :-
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bind_all(Term, V, AllParms, AllParmValues),
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term_variables(AllParms, NVs),
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build_bdd(Top, NVs, AllParms, AllParmValues, Bdd),
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bdd_to_probability_sum_product(Bdd, SP),
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bdd_close(Bdd).
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build_bdd(X, NVs, VTheta, Theta, Bdd) :-
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bdd_new(X, NVs, Bdd),
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bdd_tree(Bdd, bdd(_F,Tree,_Vs)), length(Tree, Len),
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VTheta = Theta,
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writeln(length=Len).
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bind_all([], _V, [], []).
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bind_all(info(V, _Tree, Ev, _Values, Formula, ParmVars, Parms).Term, V0, ParmVars.AllParms, Parms.AllTheta) :-
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V0 == V, !,
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set_to_one_zeros(Ev),
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bind_formula(Formula),
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bind_all(Term, V0, AllParms, AllTheta).
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bind_all(info(_V, _Tree, Ev, _Values, Formula, ParmVars, Parms).Term, V0, ParmVars.AllParms, Parms.AllTheta) :-
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set_to_ones(Ev),!,
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bind_formula(Formula),
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bind_all(Term, V0, AllParms, AllTheta).
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% evidence: no need to add any stuff.
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bind_all(info(_V, _Tree, _Ev, _Values, Formula, ParmVars, Parms).Term, V0, ParmVars.AllParms, Parms.AllTheta) :-
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bind_formula(Formula),
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bind_all(Term, V0, AllParms, AllTheta).
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bind_formula([]).
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bind_formula((A=A).Formula) :-
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bind_formula(Formula).
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set_to_one_zeros([1|Values]) :-
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set_to_zeros(Values).
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set_to_one_zeros([0|Values]) :-
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set_to_one_zeros(Values).
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set_to_zeros([]).
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set_to_zeros(0.Values) :-
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set_to_zeros(Values).
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set_to_ones([]).
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set_to_ones(1.Values) :-
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set_to_ones(Values).
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normalise([], _Sum, []).
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normalise(P.TermProbs, Sum, NP.LPs) :-
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NP is P/Sum,
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normalise(TermProbs, Sum, LPs).
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finalize_bdd_solver(_).
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