Package unbbayes.prs.mebn

Examples of unbbayes.prs.mebn.RandomVariableFinding

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   * length of arguments.
   */
  public void createRandomVariableFinding(ResidentNode residentNode,
      ObjectEntityInstance[] arguments, Entity state) {

    RandomVariableFinding finding = new RandomVariableFinding(residentNode,
        arguments, state, this.multiEntityBayesianNetwork);

    residentNode.addRandomVariableFinding(finding);
  }
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   * @param value : the value of resident node
   */
  public void createRandomVariableFinding(ResidentNode residentNode,
      ObjectEntityInstance[] arguments, Entity state) {

    RandomVariableFinding finding = new RandomVariableFinding(residentNode,
        arguments, state, residentNode.getMFrag().getMultiEntityBayesianNetwork());

    residentNode.addRandomVariableFinding(finding);
  }
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  /*-------------------------------------------------------------------------*/

  public void createRandomVariableFinding(ResidentNode residentNode,
      ObjectEntityInstance[] arguments, Entity state) {

    RandomVariableFinding finding = new RandomVariableFinding(residentNode,
        arguments, state, this.multiEntityBayesianNetwork);

    residentNode.addRandomVariableFinding(finding);
  }
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Related Classes of unbbayes.prs.mebn.RandomVariableFinding

  • edu.gmu.seor.prognos.simulation.integration.util.MebnUtil
  • edu.gmu.seor.prognos.unbbayesplugin.continuous.ssbn.HybridLaskeyAlgorithmSSBNGeneratorTest
  • edu.gmu.seor.prognos.util.MebnUtil
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