public CategoricalDistribution jointDistribution( params IProposition[] propositions) { ProbabilityTable d = null; IProposition conjProp = ProbUtil .constructConjunction(propositions); LinkedHashSet<RandomVariable> vars = new LinkedHashSet<RandomVariable>( conjProp.getUnboundScope()); if (vars.Count > 0) { RandomVariable[] distVars = new RandomVariable[vars.Count]; vars.CopyTo(distVars); ProbabilityTable ud = new ProbabilityTable(distVars); Object[] values = new Object[vars.Count]; //ProbabilityTable.Iterator di = new ProbabilityTable.Iterator() { // public void iterate(Map<RandomVariable, Object> possibleWorld, // double probability) { // if (conjProp.holds(possibleWorld)) { // int i = 0; // for (RandomVariable rv : vars) { // values[i] = possibleWorld.get(rv); // i++; // } // int dIdx = ud.getIndex(values); // ud.setValue(dIdx, ud.getValues()[dIdx] + probability); // } // } //}; //distribution.iterateOverTable(di); // TODO: d = ud; } else { // No Unbound Variables, therefore just return // the singular probability related to the proposition. d = new ProbabilityTable(); d.setValue(0, prior(propositions)); } return d; }