Examples of aima.core.util.JavaRandomizer

aima.core.util.JavaRandomizer
Implementation of the Randomizer Interface using Java's java.util.Random class. @author Ravi Mohan

   *            model <b>P</b>(<b>X</b><sub>1</sub> | <b>X</b><sub>0</sub>),
   *            sensor model <b>P</b>(<b>E</b><sub>1</sub> |
   *            <b>X</b><sub>1</sub>)
   */
  public ParticleFiltering(int N, DynamicBayesianNetwork dbn) {
    this(N, dbn, new JavaRandomizer());
  }

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 */
public class GibbsAsk implements BayesSampleInference {
  private Randomizer randomizer = null;


  public GibbsAsk() {
    this(new JavaRandomizer(new Random()));
  }

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  }


  public static void particleFilterinfDemo() {
    System.out.println("\nParticle Filtering Demo\n");
    HiddenMarkovModel rainman = HMMFactory.createRainmanHMM();
    Randomizer r = new JavaRandomizer();
    ParticleSet starting = rainman.prior().toParticleSet(rainman, r, 1000);
    System.out.println("at the beginning, "
        + starting.numberOfParticlesWithState(HmmConstants.RAINING)
        + " particles 0f 1000 indicate status == 'raining' ");
    System.out.println("at the beginning, "

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    policy.setAction(new CellWorldPosition(3, 3), CellWorld.RIGHT);


    PassiveADPAgent<CellWorldPosition, String> agent = new PassiveADPAgent<CellWorldPosition, String>(
        fourByThree, policy);


    Randomizer r = new JavaRandomizer();
    System.out
        .println("Deriving Utility Function using the Passive ADP Agent  From 100 trials in the 4 by 3 world");
    MDPUtilityFunction<CellWorldPosition> uf = null;
    for (int i = 0; i < 100; i++) {
      agent.executeTrial(r);

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    policy.setAction(new CellWorldPosition(3, 1), CellWorld.RIGHT);
    policy.setAction(new CellWorldPosition(3, 2), CellWorld.RIGHT);
    policy.setAction(new CellWorldPosition(3, 3), CellWorld.RIGHT);
    PassiveTDAgent<CellWorldPosition, String> agent = new PassiveTDAgent<CellWorldPosition, String>(
        fourByThree, policy);
    Randomizer r = new JavaRandomizer();
    System.out
        .println("Deriving Utility Function in the Passive ADP Agent  From 200 trials in the 4 by 3 world");
    MDPUtilityFunction<CellWorldPosition> uf = null;
    for (int i = 0; i < 200; i++) {
      agent.executeTrial(r);

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    MDP<CellWorldPosition, String> fourByThree = MDPFactory
        .createFourByThreeMDP();
    ;
    QLearningAgent<CellWorldPosition, String> qla = new QLearningAgent<CellWorldPosition, String>(
        fourByThree);
    Randomizer r = new JavaRandomizer();


    // Randomizer r = new JavaRandomizer();
    // Hashtable<Pair<CellWorldPosition, String>, Double> q = null;
    QTable<CellWorldPosition, String> qTable = null;
    System.out.println("After 100 trials in the 4 by 3 world");

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 */
public class LikelihoodWeighting implements BayesSampleInference {
  private Randomizer randomizer = null;


  public LikelihoodWeighting() {
    this(new JavaRandomizer(new Random()));
  }

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public class PriorSample {


  private Randomizer randomizer = null;


  public PriorSample() {
    this(new JavaRandomizer(new Random()));
  }

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Related Classes of aima.core.util.JavaRandomizer

aima.core.probability.bayes.approx.GibbsAsk

aima.core.probability.bayes.approx.LikelihoodWeighting

aima.core.probability.bayes.approx.ParticleFiltering

aima.core.probability.bayes.approx.PriorSample

aima.gui.demo.probability.ProbabilityDemo

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