public void test_ToothacheCavityCatchModel_Distributions()
{
foreach (IBayesInference bi in getBayesInferenceImplementations())
{
test_ToothacheCavityCatchModel_Distributions(new FiniteBayesModel(
BayesNetExampleFactory
.constructToothacheCavityCatchNetwork(),
bi));
}
}
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("=====================");
}
public void testInferenceOnToothacheCavityCatchNetwork()
{
IBayesianNetwork bn = BayesNetExampleFactory
.constructToothacheCavityCatchNetwork();
ICategoricalDistribution d = bayesInference.Ask(
new IRandomVariable[] { ExampleRV.CAVITY_RV },
new AssignmentProposition[] { }, bn);
// System.Console.WriteLine("P(Cavity)=" + d);
Assert.AreEqual(2, d.getValues().Length);
Assert.AreEqual(0.2, d.getValues()[0],
ProbabilityModelImpl.DEFAULT_ROUNDING_THRESHOLD);
Assert.AreEqual(0.8, d.getValues()[1],
ProbabilityModelImpl.DEFAULT_ROUNDING_THRESHOLD);
// AIMA3e pg. 493
// P(Cavity | toothache) = <0.6, 0.4>
d = bayesInference.Ask(new IRandomVariable[] { ExampleRV.CAVITY_RV },
new AssignmentProposition[] { new AssignmentProposition(
ExampleRV.TOOTHACHE_RV, true) }, bn);
// System.Console.WriteLine("P(Cavity | toothache)=" + d);
Assert.AreEqual(2, d.getValues().Length);
Assert.AreEqual(0.6, d.getValues()[0],
ProbabilityModelImpl.DEFAULT_ROUNDING_THRESHOLD);
Assert.AreEqual(0.4, d.getValues()[1],
ProbabilityModelImpl.DEFAULT_ROUNDING_THRESHOLD);
// AIMA3e pg. 497
// P(Cavity | toothache AND catch) = <0.871, 0.129>
d = bayesInference
.Ask(new IRandomVariable[] { ExampleRV.CAVITY_RV },
new AssignmentProposition[] {
new AssignmentProposition(
ExampleRV.TOOTHACHE_RV, true),
new AssignmentProposition(ExampleRV.CATCH_RV,
true)
}, bn);
// System.Console.WriteLine("P(Cavity | toothache, catch)=" + d);
Assert.AreEqual(2, d.getValues().Length);
Assert.AreEqual(0.8709677419354839, d.getValues()[0],
ProbabilityModelImpl.DEFAULT_ROUNDING_THRESHOLD);
Assert.AreEqual(0.12903225806451615, d.getValues()[1],
ProbabilityModelImpl.DEFAULT_ROUNDING_THRESHOLD);
}
