public void test_BurglaryAlarmModel_Distributions()
{
foreach (IBayesInference bi in getBayesInferenceImplementations())
{
test_BurglaryAlarmModel_Distributions(new FiniteBayesModel(
BayesNetExampleFactory.constructBurglaryAlarmNetwork(), bi));
}
}
public void testInferenceOnBurglaryAlarmNetwork()
{
IBayesianNetwork bn = BayesNetExampleFactory
.constructBurglaryAlarmNetwork();
// AIMA3e. pg. 514
ICategoricalDistribution d = bayesInference
.Ask(new IRandomVariable[] { ExampleRV.ALARM_RV },
new AssignmentProposition[] {
new AssignmentProposition(
ExampleRV.BURGLARY_RV, false),
new AssignmentProposition(
ExampleRV.EARTHQUAKE_RV, false),
new AssignmentProposition(
ExampleRV.JOHN_CALLS_RV, true),
new AssignmentProposition(
ExampleRV.MARY_CALLS_RV, true)
}, bn);
// System.Console.WriteLine("P(Alarm | ~b, ~e, j, m)=" + d);
Assert.AreEqual(2, d.getValues().Length);
Assert.AreEqual(0.5577689243027888, d.getValues()[0],
ProbabilityModelImpl.DEFAULT_ROUNDING_THRESHOLD);
Assert.AreEqual(0.44223107569721115, d.getValues()[1],
ProbabilityModelImpl.DEFAULT_ROUNDING_THRESHOLD);
// AIMA3e pg. 523
// P(Burglary | JohnCalls = true, MaryCalls = true) = <0.284, 0.716>
d = bayesInference
.Ask(new IRandomVariable[] { ExampleRV.BURGLARY_RV },
new AssignmentProposition[] {
new AssignmentProposition(
ExampleRV.JOHN_CALLS_RV, true),
new AssignmentProposition(
ExampleRV.MARY_CALLS_RV, true)
}, bn);
// System.Console.WriteLine("P(Burglary | j, m)=" + d);
Assert.AreEqual(2, d.getValues().Length);
Assert.AreEqual(0.2841718353643929, d.getValues()[0],
ProbabilityModelImpl.DEFAULT_ROUNDING_THRESHOLD);
Assert.AreEqual(0.7158281646356071, d.getValues()[1],
ProbabilityModelImpl.DEFAULT_ROUNDING_THRESHOLD);
// AIMA3e pg. 528
// P(JohnCalls | Burglary = true)
d = bayesInference.Ask(
new IRandomVariable[] { ExampleRV.JOHN_CALLS_RV },
new AssignmentProposition[] { new AssignmentProposition(
ExampleRV.BURGLARY_RV, true) }, bn);
// System.Console.WriteLine("P(JohnCalls | b)=" + d);
Assert.AreEqual(2, d.getValues().Length);
Assert.AreEqual(0.8490169999999999, d.getValues()[0],
ProbabilityModelImpl.DEFAULT_ROUNDING_THRESHOLD);
Assert.AreEqual(0.15098299999999998, d.getValues()[1],
ProbabilityModelImpl.DEFAULT_ROUNDING_THRESHOLD);
}
static void bayesEnumerationAskDemo()
{
System.Console.WriteLine("DEMO: Bayes Enumeration Ask");
System.Console.WriteLine("===========================");
demoToothacheCavityCatchModel(new FiniteBayesModel(
BayesNetExampleFactory.constructToothacheCavityCatchNetwork(),
new EnumerationAsk()));
demoBurglaryAlarmModel(new FiniteBayesModel(
BayesNetExampleFactory.constructBurglaryAlarmNetwork(),
new EnumerationAsk()));
System.Console.WriteLine("===========================");
}
static void bayesGibbsAskDemo()
{
System.Console.WriteLine("DEMO: Bayes Gibbs Ask N = " + NUM_SAMPLES);
System.Console.WriteLine("=====================");
demoToothacheCavityCatchModel(new FiniteBayesModel(
BayesNetExampleFactory.constructToothacheCavityCatchNetwork(),
new BayesInferenceApproxAdapter(new GibbsAsk(), NUM_SAMPLES)));
demoBurglaryAlarmModel(new FiniteBayesModel(
BayesNetExampleFactory.constructBurglaryAlarmNetwork(),
new BayesInferenceApproxAdapter(new GibbsAsk(), NUM_SAMPLES)));
System.Console.WriteLine("=====================");
}
