Once, you have created a KnowledgeBase instance (for example, by Loading a knowledge base), you can run a problem-solving session. During a problem-solving session you enter Question-Value pairs (Fact) and the system will derive appropriate solutions for the entered facts.
Session session = SessionFactory.createSession(knowledgeBase);
The Interview, instantiated with the Session, determines the next question to be presented to the user. More precisely, a FormStrategy computes the next From that is presented in the dialog. A Form consists of a title and an interviewObject (a Question of a QContainer):
Form form = session.getInterview().nextForm(); InterviewObject interviewObject = form.getInterviewObject();
To retrieve a single question contained in the Form you may use the NextUnansweredQuestionFormStrategy. This can be explicitly set by
session.getInterviewManager().setFormStrategy(new NextUnansweredQuestionFormStrategy());
Next, we subsequently add facts to the session. When already having the appropriate instances of Question and Value, respectively, we are able to simply set the value by
Fact fact = FactFactory.createFact(question, value, PSMethodUserSelected.getInstance(), PSMethodUserSelected.getInstance()); session.getBlackboard().addValueFact(fact);
We retrieve the list of derived solutions together with their state by iterating over all solutions in the knowledge base and by asking for a diagnosis Rating that is different from UNCLEAR. This way, we return solution instances with states ESTABLISHED, SUGGESTED, and EXCLUDED.
for (Solution solution : knowledgeBase.getSolutions()) { Rating state = session.getBlackboard().getState(solution); if (!state.hasState(Rating.State.UNCLEAR)) out.println(" " + solution + " (" + state + ")"); }
You can simply retrieve all entered facts by the following code block:
for (ProtocolEntry entry : session.getProtocol().getProtocolHistory()) { out.println(entry); }
Please note, that the session manages a Protocol, where entered findings (question/value tuples) are stored in a chronological order.
Note: The current version of the full example should be found in d3web-GlobalTests as the class de.d3web.demos.RunningACase.
public void runDemoCase() throws IOException { KnowledgeBase knowledgeBase = buildKnowledgeBase(); PrintStream out = System.out; // Create a case (problem-solving session and set all specified // question/answers out.println("+++ Setting values +++"); Session session = SessionFactory.createSession(knowledgeBase); // set: pregnant = yes Fact fact1 = FactFactory.createFact(pregnant, yes, PSMethodUserSelected .getInstance(), PSMethodUserSelected.getInstance()); session.getBlackboard().addValueFact(fact1); out.println(fact1); // set: weight = 80 Fact fact2 = FactFactory.createFact(weight, new NumValue(80), PSMethodUserSelected.getInstance(), PSMethodUserSelected.getInstance()); session.getBlackboard().addValueFact(fact2); out.println(fact2); // Print all solutions with a state != UNCLEAR out.println("+++ Solutions +++"); for (Solution solution : knowledgeBase.getSolutions()) { Rating state = session.getBlackboard().getState(solution); if (!state.hasState(Rating.State.UNCLEAR)) out.println(" " + solution + " (" + state + ")"); } // Show all entered findings out.println("+++ Entered Questions +++"); for (ProtocolEntry entry : session.getProtocol().getProtocolHistory()) { out.println(" " + entry); } } private KnowledgeBase buildKnowledgeBase() throws IOException { // root {container} // - demoQuestion {containers} // - pregnant [oc] // - weight [num] // Solution: dangerousMood InitPluginManager.init(); KnowledgeBaseManagement kbm = KnowledgeBaseManagement.createInstance(); QASet root = kbm.getKnowledgeBase().getRootQASet(); demoQuestions = kbm.createQContainer("demoQuestions", root); pregnant = kbm.createQuestionOC("pregnant", demoQuestions, new String[] { "yes", "no" }); yes = new ChoiceValue(kbm.findChoice(pregnant, "yes")); weight = kbm.createQuestionNum("weight", "weight", demoQuestions); dangerousMood = kbm.createSolution("dangerousMood"); // Define the init questionnaire kbm.getKnowledgeBase().setInitQuestions(Arrays.asList(demoQuestions)); // Define the magic rule: preganant=yes AND weight > 70 => dangerousMood (P7) List<Condition> terms = new ArrayList<Condition>(); terms.add(new CondEqual(pregnant, yes)); terms.add(new CondNumGreater(weight, Double.valueOf(70))); RuleFactory.createHeuristicPSRule("r1", dangerousMood, Score.P7, new CondAnd(terms)); return kbm.getKnowledgeBase(); }