Examples with Model anytimeExactBeliefPropagation.Model.Model used on opensource projects

Example 1 with Model

use of anytimeExactBeliefPropagation.Model.Model in project aic-expresso by aic-sri-international.

the class Tests method main.

public static void main(String[] args) {
    // Theory initialization
    Theory theory = new CompoundTheory(new EqualityTheory(false, true), new DifferenceArithmeticTheory(false, false), new LinearRealArithmeticTheory(false, false), new TupleTheory(), new PropositionalTheory());
    Context context = new TrueContext(theory);
    context = context.extendWithSymbolsAndTypes("A", "Boolean");
    Model m;
    String modelName;
    Triple<Set<Expression>, Context, Expression> a = IsingModel(4, 4, context, parse("Boolean"));
    println(a);
    m = new Model(a, theory, true);
    Expression b = ModelGenerator.lveCalculation(m);
    println(b);
    // testFunction(modelName, m,true);
    // modelName = "Line Model";
    // m = new Model(lineModel(10, context, parse("Boolean")),theory, true);
    // 
    // testFunction(modelName, m,true);
    // 
    // modelName = "Binary Tree Model";
    // m = new Model(nTreeModel(4, 2, context, parse("Boolean")),theory, true);
    // 
    // testFunction(modelName, m,true);
    // 
    // modelName = "Random Model";
    // m = new Model(ModelGenerator.randomModel(8, 10, context, parse("Boolean")),theory, true);
    // 
    // testFunction(modelName, m,true);
    modelName = "Ising Model";
    List<List<TupleOfData>> listOdModelsToPrintInFile = new ArrayList<>();
    // m = new Model(IsingModel(20, 4, context, parse("Boolean")),theory, true);
    // List<InferenceResult> IsingModel2X2 = testing("IsingModel",m,2,2);
    // listOdModelsToPrintInFile.add(IsingModel2X2);
    // println("ok");
    // 
    // m = new Model(IsingModel(3, 3, context, parse("Boolean")),theory, true);
    // List<InferenceResult> IsingModel3X3 = testing("IsingModel",m,3,3);
    // listOdModelsToPrintInFile.add(IsingModel3X3);
    // println("ok");
    // 
    // m = new Model(IsingModel(3, 4, context, parse("Boolean")),theory, true);
    // List<InferenceResult> IsingModel3X4 = testing("IsingModel",m,3,4);
    // listOdModelsToPrintInFile.add(IsingModel3X4);
    // println("ok");
    // 
    // m = new Model(IsingModel(4, 4, context, parse("Boolean")),theory, true);
    // List<InferenceResult> IsingModel4X4 = testing("IsingModel",m,4,4);
    // listOdModelsToPrintInFile.add(IsingModel4X4);
    // println("ok");
    // 
    // //		m = new Model(IsingModel(4, 5, context, parse("Boolean")),theory, true);
    // //		List<InferenceResult> IsingModel4X5 = testing("IsingModel",m,4,5);
    // //		listOdModelsToPrintInFile.add(IsingModel4X5);
    // //		println("ok");
    // 
    // modelName = "Line Model";
    // m = new Model(lineModel(20, context, parse("Boolean")),theory, true);
    // List<InferenceResult> line10 = testing(modelName,m,4,5);
    // listOdModelsToPrintInFile.add(line10);
    // println("ok");
    modelName = "Binary Tree Model";
    m = new Model(IsingModel(4, 4, context, parse("Boolean")), theory, true);
    List<TupleOfData> btree = testing(modelName, m, 4, 5);
    listOdModelsToPrintInFile.add(btree);
    println("ok");
    testingAndWritingToFile(modelName + ".csv", listOdModelsToPrintInFile);
}