| Package | Description | 
|---|---|
| net.sf.tweety.arg.prob.dynamics | |
| net.sf.tweety.arg.prob.semantics | |
| net.sf.tweety.logics.rpcl.semantics | |
| net.sf.tweety.math.opt.solver | 
| Modifier and Type | Method and Description | 
|---|---|
protected void | 
AbstractPAChangeOperator.prepareOptimizationProblem(PartialProbabilityAssignment ppa,
                          DungTheory theory,
                          OptimizationProblem problem,
                          java.util.Map<java.util.Collection<Argument>,FloatVariable> varsComp,
                          java.util.Map<java.util.Collection<Argument>,FloatVariable> varsSem,
                          java.util.Vector<Term> varsCompVector,
                          java.util.Vector<Term> varsSemVector)  | 
protected void | 
AbstractPAChangeOperator.prepareOptimizationProblem(PartialProbabilityAssignment ppa,
                          DungTheory theory,
                          OptimizationProblem problem,
                          java.util.Map<java.util.Collection<Argument>,FloatVariable> varsComp,
                          java.util.Map<java.util.Collection<Argument>,FloatVariable> varsSem,
                          java.util.Vector<Term> varsCompVector,
                          java.util.Vector<Term> varsSemVector)  | 
| Modifier and Type | Method and Description | 
|---|---|
java.util.Collection<Statement> | 
SemiOptimisticPASemantics.getSatisfactionStatements(DungTheory theory,
                         java.util.Map<java.util.Collection<Argument>,FloatVariable> worlds2vars)  | 
java.util.Collection<Statement> | 
SemiFoundedPASemantics.getSatisfactionStatements(DungTheory theory,
                         java.util.Map<java.util.Collection<Argument>,FloatVariable> worlds2vars)  | 
java.util.Collection<Statement> | 
RationalPASemantics.getSatisfactionStatements(DungTheory theory,
                         java.util.Map<java.util.Collection<Argument>,FloatVariable> worlds2vars)  | 
java.util.Collection<Statement> | 
PASemantics.getSatisfactionStatements(DungTheory theory,
                         java.util.Map<java.util.Collection<Argument>,FloatVariable> worlds2vars)
Returns the mathematical statement corresponding to the satisfaction
 of the given theory wrt. 
 | 
java.util.Collection<Statement> | 
OptimisticPASemantics.getSatisfactionStatements(DungTheory theory,
                         java.util.Map<java.util.Collection<Argument>,FloatVariable> worlds2vars)  | 
java.util.Collection<Statement> | 
NeutralPASemantics.getSatisfactionStatements(DungTheory theory,
                         java.util.Map<java.util.Collection<Argument>,FloatVariable> worlds2vars)  | 
java.util.Collection<Statement> | 
JustifiablePASemantics.getSatisfactionStatements(DungTheory theory,
                         java.util.Map<java.util.Collection<Argument>,FloatVariable> worlds2vars)  | 
java.util.Collection<Statement> | 
InvolutaryPASemantics.getSatisfactionStatements(DungTheory theory,
                         java.util.Map<java.util.Collection<Argument>,FloatVariable> worlds2vars)  | 
java.util.Collection<Statement> | 
FoundedPASemantics.getSatisfactionStatements(DungTheory theory,
                         java.util.Map<java.util.Collection<Argument>,FloatVariable> worlds2vars)  | 
java.util.Collection<Statement> | 
CoherentPASemantics.getSatisfactionStatements(DungTheory theory,
                         java.util.Map<java.util.Collection<Argument>,FloatVariable> worlds2vars)  | 
abstract java.util.Collection<Statement> | 
AbstractPASemantics.getSatisfactionStatements(DungTheory theory,
                         java.util.Map<java.util.Collection<Argument>,FloatVariable> worlds2vars)  | 
protected Term | 
AbstractPASemantics.probabilityTerm(Argument arg,
               java.util.Map<java.util.Collection<Argument>,FloatVariable> worlds2vars)
Constructs the term expressing the probability of the given argument
 wrt. 
 | 
| Modifier and Type | Method and Description | 
|---|---|
Statement | 
RpclSemantics.getSatisfactionStatement(RelationalProbabilisticConditional r,
                        FolSignature signature,
                        java.util.Map<? extends Interpretation,FloatVariable> worlds2vars)
Returns the mathematical statement corresponding to the satisfaction
 of the given conditional wrt. 
 | 
Statement | 
AveragingSemantics.getSatisfactionStatement(RelationalProbabilisticConditional r,
                        FolSignature signature,
                        java.util.Map<? extends Interpretation,FloatVariable> worlds2vars)  | 
Statement | 
AggregatingSemantics.getSatisfactionStatement(RelationalProbabilisticConditional r,
                        FolSignature signature,
                        java.util.Map<? extends Interpretation,FloatVariable> worlds2vars)  | 
abstract Statement | 
AbstractRpclSemantics.getSatisfactionStatement(RelationalProbabilisticConditional r,
                        FolSignature signature,
                        java.util.Map<? extends Interpretation,FloatVariable> worlds2vars)  | 
protected Term | 
AbstractRpclSemantics.probabilityTerm(FolFormula f,
               java.util.Map<? extends Interpretation,FloatVariable> worlds2vars)
Constructs the term expressing the probability of the given formula "f"
 wrt. 
 | 
| Modifier and Type | Method and Description | 
|---|---|
private java.util.Map<FloatVariable,Term> | 
SimpleGeneticOptimizationSolver.crossover(java.util.Map<FloatVariable,Term> ind1,
         java.util.Map<FloatVariable,Term> ind2)
Makes a crossover of the two individuals 
 | 
private java.util.Map<FloatVariable,Term> | 
SimpleGeneticOptimizationSolver.mutate(java.util.Map<FloatVariable,Term> ind)
Mutates the given individual 
 | 
| Modifier and Type | Method and Description | 
|---|---|
int | 
SimpleGeneticOptimizationSolver.FitnessComparator.compare(java.util.Map<FloatVariable,Term> arg0,
       java.util.Map<FloatVariable,Term> arg1)  | 
int | 
SimpleGeneticOptimizationSolver.FitnessComparator.compare(java.util.Map<FloatVariable,Term> arg0,
       java.util.Map<FloatVariable,Term> arg1)  | 
private java.util.Map<FloatVariable,Term> | 
SimpleGeneticOptimizationSolver.crossover(java.util.Map<FloatVariable,Term> ind1,
         java.util.Map<FloatVariable,Term> ind2)
Makes a crossover of the two individuals 
 | 
private java.util.Map<FloatVariable,Term> | 
SimpleGeneticOptimizationSolver.crossover(java.util.Map<FloatVariable,Term> ind1,
         java.util.Map<FloatVariable,Term> ind2)
Makes a crossover of the two individuals 
 | 
private java.util.Map<FloatVariable,Term> | 
SimpleGeneticOptimizationSolver.mutate(java.util.Map<FloatVariable,Term> ind)
Mutates the given individual 
 |