Examples of FiniteBayesModel

aima.core.probability.bayes.model.FiniteBayesModel
Very simple implementation of the FiniteProbabilityModel API using a Bayesian Network, consisting of FiniteNodes, to represent the underlying model.

Note: The implementation currently doesn't take advantage of the use of evidence values when calculating posterior values using the provided Bayesian Inference implementation (e.g enumerationAsk). Instead it simply creates a joint distribution over the scope of the propositions (i.e. using the inference implementation with just query variables corresponding to the scope of the propositions) and then iterates over this to get the appropriate probability values. A smarter version, in the general case, would need to dynamically create deterministic nodes to represent the outcome of logical and derived propositions (e.g. conjuncts and summations over variables) in order to be able to correctly calculate using evidence values. @author Ciaran O'Reilly

Examples of aima.core.probability.bayes.model.FiniteBayesModel

            // R_t = false, U_t = true
            0.2,
            // R_t = false, U_t = false
            0.8 }, rain_t);


    return new FiniteBayesModel(new BayesNet(rain_tm1));
  }

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Examples of aima.core.probability.bayes.model.FiniteBayesModel

            .getX_0_to_X_1().get(sa.getKey()), sa.getValue());
        idx++;
      }
    }


    sensorModel = new FiniteBayesModel(dbn, new EliminationAsk());


    sampleIndexes = new RandVar("SAMPLE_INDEXES", new FiniteIntegerDomain(
        indexes));
  }

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Examples of aima.core.probability.bayes.model.FiniteBayesModel

  }


  public static void bayesEnumerationAskDemo() {
    System.out.println("DEMO: Bayes Enumeration Ask");
    System.out.println("===========================");
    demoToothacheCavityCatchModel(new FiniteBayesModel(
        BayesNetExampleFactory.constructToothacheCavityCatchNetwork(),
        new EnumerationAsk()));
    demoBurglaryAlarmModel(new FiniteBayesModel(
        BayesNetExampleFactory.constructBurglaryAlarmNetwork(),
        new EnumerationAsk()));
    System.out.println("===========================");
  }

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Examples of aima.core.probability.bayes.model.FiniteBayesModel

  }


  public static void bayesEliminationAskDemo() {
    System.out.println("DEMO: Bayes Elimination Ask");
    System.out.println("===========================");
    demoToothacheCavityCatchModel(new FiniteBayesModel(
        BayesNetExampleFactory.constructToothacheCavityCatchNetwork(),
        new EliminationAsk()));
    demoBurglaryAlarmModel(new FiniteBayesModel(
        BayesNetExampleFactory.constructBurglaryAlarmNetwork(),
        new EliminationAsk()));
    System.out.println("===========================");
  }

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Examples of aima.core.probability.bayes.model.FiniteBayesModel

  }


  public static void bayesRejectionSamplingDemo() {
    System.out.println("DEMO: Bayes Rejection Sampling N = " + NUM_SAMPLES);
    System.out.println("==============================");
    demoToothacheCavityCatchModel(new FiniteBayesModel(
        BayesNetExampleFactory.constructToothacheCavityCatchNetwork(),
        new BayesInferenceApproxAdapter(new RejectionSampling(),
            NUM_SAMPLES)));
    demoBurglaryAlarmModel(new FiniteBayesModel(
        BayesNetExampleFactory.constructBurglaryAlarmNetwork(),
        new BayesInferenceApproxAdapter(new RejectionSampling(),
            NUM_SAMPLES)));
    System.out.println("==============================");
  }

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Examples of aima.core.probability.bayes.model.FiniteBayesModel


  public static void bayesLikelihoodWeightingDemo() {
    System.out.println("DEMO: Bayes Likelihood Weighting N = "
        + NUM_SAMPLES);
    System.out.println("================================");
    demoToothacheCavityCatchModel(new FiniteBayesModel(
        BayesNetExampleFactory.constructToothacheCavityCatchNetwork(),
        new BayesInferenceApproxAdapter(new LikelihoodWeighting(),
            NUM_SAMPLES)));
    demoBurglaryAlarmModel(new FiniteBayesModel(
        BayesNetExampleFactory.constructBurglaryAlarmNetwork(),
        new BayesInferenceApproxAdapter(new LikelihoodWeighting(),
            NUM_SAMPLES)));
    System.out.println("================================");
  }

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Examples of aima.core.probability.bayes.model.FiniteBayesModel

  }


  public static void bayesGibbsAskDemo() {
    System.out.println("DEMO: Bayes Gibbs Ask N = " + NUM_SAMPLES);
    System.out.println("=====================");
    demoToothacheCavityCatchModel(new FiniteBayesModel(
        BayesNetExampleFactory.constructToothacheCavityCatchNetwork(),
        new BayesInferenceApproxAdapter(new GibbsAsk(), NUM_SAMPLES)));
    demoBurglaryAlarmModel(new FiniteBayesModel(
        BayesNetExampleFactory.constructBurglaryAlarmNetwork(),
        new BayesInferenceApproxAdapter(new GibbsAsk(), NUM_SAMPLES)));
    System.out.println("=====================");
  }

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Examples of aima.core.probability.bayes.model.FiniteBayesModel

  //
  // ProbabilityModel Tests
  @Test
  public void test_RollingPairFairDiceModel() {
    for (BayesInference bi : getBayesInferenceImplementations()) {
      test_RollingPairFairDiceModel(new FiniteBayesModel(
          BayesNetExampleFactory.construct2FairDiceNetwor(), bi));
    }
  }

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Examples of aima.core.probability.bayes.model.FiniteBayesModel

  }


  @Test
  public void test_ToothacheCavityCatchModel() {
    for (BayesInference bi : getBayesInferenceImplementations()) {
      test_ToothacheCavityCatchModel(new FiniteBayesModel(
          BayesNetExampleFactory
              .constructToothacheCavityCatchNetwork(),
          bi));
    }
  }

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Examples of aima.core.probability.bayes.model.FiniteBayesModel

  }


  @Test
  public void test_ToothacheCavityCatchWeatherModel() {
    for (BayesInference bi : getBayesInferenceImplementations()) {
      test_ToothacheCavityCatchWeatherModel(new FiniteBayesModel(
          BayesNetExampleFactory
              .constructToothacheCavityCatchWeatherNetwork(),
          bi));
    }
  }

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