This page (revision-16) was last changed on 06-Jun-2017 09:17 by Albrecht Striffler

This page was created on 17-Dec-2012 14:42 by Markus Friedrich

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Version Date Modified Size Author Changes ... Change note
16 06-Jun-2017 09:17 6 KB Albrecht Striffler to previous
15 11-May-2016 14:14 6 KB Albrecht Striffler to previous | to last
14 03-May-2016 12:06 6 KB Albrecht Striffler to previous | to last
13 17-Mar-2015 08:02 6 KB Markus Friedrich to previous | to last
12 12-Mar-2015 01:45 6 KB Albrecht Striffler to previous | to last
11 12-Mar-2015 01:42 6 KB Albrecht Striffler to previous | to last
10 26-Feb-2015 11:50 6 KB Albrecht Striffler to previous | to last
9 25-Feb-2013 14:43 6 KB Albrecht Striffler to previous | to last
8 25-Feb-2013 13:00 6 KB Albrecht Striffler to previous | to last
7 25-Feb-2013 12:50 6 KB Albrecht Striffler to previous | to last
6 25-Feb-2013 12:50 6 KB Albrecht Striffler to previous | to last
5 18-Feb-2013 12:53 6 KB Albrecht Striffler to previous | to last
4 17-Dec-2012 17:45 6 KB constin to previous | to last
3 17-Dec-2012 14:56 6 KB Markus Friedrich to previous | to last
2 17-Dec-2012 14:49 5 KB Markus Friedrich to previous | to last
1 17-Dec-2012 14:42 5 KB Markus Friedrich to last

Page References

Incoming links Outgoing links
How-To Create a Session
How-To Create a Session

Version management

Difference between version and

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[{TableOfContents }]
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The [Interview|https://isci.informatik.uni-wuerzburg.de/javadoc/d3web/de/d3web/core/session/interviewmanager/Interview.html], 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):
The [Interview|https://isci.informatik.uni-wuerzburg.de/javadoc/d3web/de/d3web/core/session/interviewmanager/Interview.html], which can be accessed from the session by using the interview problem solver (PSMethod), 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 a list of active questions:
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Form form = session.getInterview().nextForm();
InterviewObject interviewObject = form.getInterviewObject();
Interview interview = session.getSessionObject(session.getPSMethodInstance(PSMethodInterview.class));
Form form = interview.nextForm();
List<Question> activeQuestions = form.getActiveQuestions();
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session.getInterviewManager().setFormStrategy(new NextUnansweredQuestionFormStrategy());
interview.setFormStrategy(new NextUnansweredQuestionFormStrategy());
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Fact fact = FactFactory.createFact(question, value,
PSMethodUserSelected.getInstance(),
PSMethodUserSelected.getInstance());
Question question = kb.getManager().searchQuestion("QuestionName");
ChoiceValue value = new ChoiceValue("ChoiceName");
Fact fact = FactFactory.createFact(session, question, value,
PSMethodUserSelected.getInstance(),
PSMethodUserSelected.getInstance());
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for (Solution solution : knowledgeBase.getSolutions()) {
Rating state = session.getBlackboard().getState(solution);
for (Solution solution : knowledgeBase.getManager().getSolutions()) {
Rating state = session.getBlackboard().getRating(solution);
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// Create a case (problem-solving session and set all specified
// question/answers
// Create a case (problem-solving session and set
// all specified question/answers
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Fact fact1 = FactFactory.createFact(pregnant, yes, PSMethodUserSelected
.getInstance(), PSMethodUserSelected.getInstance());
Fact fact1 = FactFactory.createUserEnteredFact(
pregnant, yes);
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Fact fact2 = FactFactory.createFact(weight, new NumValue(80),
PSMethodUserSelected.getInstance(),
PSMethodUserSelected.getInstance());
Fact fact2 = FactFactory.createUserEnteredFact(
weight, new NumValue(80));
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for (Solution solution : knowledgeBase.getSolutions()) {
Rating state = session.getBlackboard().getState(solution);
if (!state.hasState(Rating.State.UNCLEAR))
for (Solution solution : knowledgeBase.getManager().getSolutions()) {
Rating state = session.getBlackboard().getRating(solution);
if (!state.hasState(Rating.State.UNCLEAR)) {
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}
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private KnowledgeBase buildKnowledgeBase() throws IOException {
// root {container}
// - demoQuestion {containers}
// - pregnant [oc]
// - weight [num]
private KnowledgeBase buildKnowledgeBase() throws IOException {
// root {container}
// - demoQuestion {containers}
// -- pregnant [oc]
// -- weight [num]
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// Solution: dangerousMood
InitPluginManager.init();
KnowledgeBase kb = KnowledgeBaseUtils.createKnowledgeBase();
// Solution: dangerousMood
InitPluginManager.init();
KnowledgeBase kb = KnowledgeBaseUtils.createKnowledgeBase();
QASet root = kb.getRootQASet();
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QContainer demoQuestion = new QContainer(kb.getRootQASet(), "demoQuestions");
QuestionYN pregnant = new QuestionYN(demoQuestion, "pregnant");
demoQuestions = new QContainer(root, "demoQuestions");
pregnant = new QuestionOC(demoQuestions, "pregnant", "yes", "no");
yes = new ChoiceValue(KnowledgeBaseUtils.findChoice(pregnant, "yes"));
weight = new QuestionNum(demoQuestions, "weight");
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Choice yes = pregnant.getAnswerChoiceYes();
dangerousMood = new Solution(kb.getRootSolution(), "dangerousMood");
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QuestionNum weight = new QuestionNum(demoQuestion, "weight");
// Define the init questionnaire
kb.setInitQuestions(Arrays.asList(demoQuestions));
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Solution dangerousMood = new Solution(kb.getRootSolution(), "dangerousMood");
// 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) 70));
RuleFactory.createHeuristicPSRule(dangerousMood, Score.P7, new CondAnd(terms));
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// Define the init questionnaire
kb.setInitQuestions(Arrays.asList(demoQuestion));
// Define the magic rule: preganant=yes AND weight > 70 => dangerousMood
// (P7)
List<Condition> terms = new ArrayList<Condition>();
terms.add(new CondEqual(pregnant, new ChoiceValue(yes)));
terms.add(new CondNumGreater(weight, Double.valueOf(70)));
RuleFactory.createHeuristicPSRule(dangerousMood, Score.P7, new CondAnd(terms));
return kb;
}
return kb;
}
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This page (revision-16) was last changed on 06-Jun-2017 09:17 by Albrecht Striffler Top