| Modifier and Type | Field and Description | 
|---|---|
private ProbabilityFunction<PossibleWorld> | 
DeductiveArgMeReasoner.meDistribution
The ME-distribution this reasoner bases on. 
 | 
| Modifier and Type | Method and Description | 
|---|---|
private ProbabilityFunction<PossibleWorld> | 
DeductiveArgMeReasoner.computeMeDistribution()
Computes the ME-distribution this reasoner bases on. 
 | 
ProbabilityFunction<PossibleWorld> | 
DeductiveArgMeReasoner.getMeDistribution()
Returns the ME-distribution this reasoner bases on. 
 | 
| Modifier and Type | Method and Description | 
|---|---|
private Term | 
DeductiveArgMeReasoner.getSumOfWorlds(PropositionalFormula f,
              java.util.Map<PossibleWorld,Variable> worlds2vars)
Returns the sum (as a term) of all variables of worlds satisfying the first formula. 
 | 
| Modifier and Type | Field and Description | 
|---|---|
private java.util.Set<PossibleWorld> | 
ZReasoner.omega  | 
| Modifier and Type | Method and Description | 
|---|---|
private Statement | 
CReasoner.getRankConstraint(PossibleWorld w,
                 IntegerVariable ranki,
                 java.util.Map<Conditional,IntegerVariable> kappa_pos,
                 java.util.Map<Conditional,IntegerVariable> kappa_neg)
For the given interpretation "i" and the given kappas, this method
 computes the constraint
  
k("i")=\sum_{"i" verifies ri} ki+ + \sum_{"i" falsifies ri} kj-  | 
| Modifier and Type | Method and Description | 
|---|---|
private Statement | 
CReasoner.getAcceptanceConstraint(Conditional cond,
                       java.util.Map<PossibleWorld,IntegerVariable> ranks)
For the given conditional (B|A) and the given ranks of possible worlds, this
 method constructs the inequation k(AB) < k(A-B) where k(AB) is the minimum of
 the ranks of the interpretations that satisfy AB. 
 | 
| Modifier and Type | Field and Description | 
|---|---|
private java.util.Map<PossibleWorld,java.lang.Integer> | 
RankingFunction.ranks
The ranks of the possible worlds. 
 | 
| Modifier and Type | Method and Description | 
|---|---|
java.util.Set<PossibleWorld> | 
RankingFunction.getPossibleWorlds()
Returns all interpretations that are mapped to a rank
 unequal to INFINITY. 
 | 
| Modifier and Type | Method and Description | 
|---|---|
static boolean | 
RankingFunction.falsifies(PossibleWorld w,
         Conditional c)
Checks whether the given possible world w falsifies the given 
 conditional (B|A), i.e. 
 | 
java.lang.Integer | 
RankingFunction.rank(PossibleWorld w)
Gets the rank of the given possible world. 
 | 
static boolean | 
RankingFunction.satisfies(PossibleWorld w,
         Conditional c)
Checks whether the given possible world w satisfies the given 
 conditional (B|A), i.e. 
 | 
void | 
RankingFunction.setRank(PossibleWorld w,
       java.lang.Integer value)
Sets the rank for the given possible world. 
 | 
static boolean | 
RankingFunction.verifies(PossibleWorld w,
        Conditional c)
Checks whether the given possible world w verifies the given 
 conditional (B|A), i.e. 
 | 
| Modifier and Type | Field and Description | 
|---|---|
private ProbabilityDistribution<PossibleWorld> | 
DefaultMeReasoner.meDistribution
The ME-distribution this reasoner bases on. 
 | 
private ProbabilityDistribution<PossibleWorld> | 
GeneralizedMeReasoner.meDistribution
The ME-distribution this reasoner bases on. 
 | 
| Modifier and Type | Method and Description | 
|---|---|
private ProbabilityDistribution<PossibleWorld> | 
DefaultMeReasoner.computeMeDistribution()
Computes the ME-distribution this reasoner bases on. 
 | 
private ProbabilityDistribution<PossibleWorld> | 
GeneralizedMeReasoner.computeMeDistribution()
Computes the ME-distribution this reasoner bases on. 
 | 
ProbabilityDistribution<PossibleWorld> | 
DefaultMeReasoner.getMeDistribution()
Returns the ME-distribution this reasoner bases on. 
 | 
ProbabilityDistribution<PossibleWorld> | 
GeneralizedMeReasoner.getMeDistribution()
Returns the ME-distribution this reasoner bases on. 
 | 
| Modifier and Type | Method and Description | 
|---|---|
static org.ojalgo.matrix.PrimitiveMatrix | 
OjAlgoPclUtils.createConstraintMatrix(PclBeliefSet beliefSet,
                      java.util.Set<PossibleWorld> worlds)
Create constraint matrix for a set of PCL conditionals over a set of possible worlds. 
 | 
static void | 
MatlabUtils.printAntecedenceVerificationMatrix(java.io.PrintStream out,
                                  PclBeliefSet beliefSet,
                                  java.util.Set<PossibleWorld> worlds)
Print antecedence verification matrix (1 if antecedence is satisfied, 0 otherwise) 
 | 
static void | 
MatlabUtils.printConditionalVerificationMatrix(java.io.PrintStream out,
                                  PclBeliefSet beliefSet,
                                  java.util.Set<PossibleWorld> worlds)
Print conditional verification matrix (1 if antecedence and consequence are satisfied, 0 otherwise) 
 | 
static void | 
MatlabUtils.printConstraintMatrix(java.io.PrintStream out,
                     PclBeliefSet beliefSet,
                     java.util.Set<PossibleWorld> worlds)
Print constraint matrix for belief set and possible worlds to output stream. 
 | 
| Modifier and Type | Field and Description | 
|---|---|
private java.util.Collection<java.util.List<PossibleWorld>> | 
HsInconsistencyMeasurementProcess.hittingSets
The current candidate populations for a hitting set. 
 | 
| Modifier and Type | Method and Description | 
|---|---|
abstract double | 
PossibleWorldDistance.distance(PossibleWorld a,
        PossibleWorld b)  | 
double | 
DalalDistance.distance(PossibleWorld a,
        PossibleWorld b)  | 
double | 
PossibleWorldDistance.distance(PropositionalFormula f,
        PossibleWorld b)  | 
| Modifier and Type | Field and Description | 
|---|---|
private PossibleWorld | 
NicePossibleWorld.world
Implementation of possible world with a small memory print and 
 fast satisfication tests. 
 | 
| Modifier and Type | Method and Description | 
|---|---|
PossibleWorld | 
NicePossibleWorld.getOptimizedWorld()  | 
PossibleWorld | 
PossibleWorldIterator.next()  | 
| Modifier and Type | Method and Description | 
|---|---|
static java.util.Set<PossibleWorld> | 
PossibleWorld.getAllPossibleWorlds(java.util.Collection<Proposition> signature)
Returns the set of all possible worlds for the
 given propositional signature. 
 | 
InterpretationIterator<PossibleWorld> | 
PossibleWorldIterator.reset()  | 
InterpretationIterator<PossibleWorld> | 
PossibleWorldIterator.reset(java.util.Collection<? extends Formula> formulas)  | 
InterpretationIterator<PossibleWorld> | 
PossibleWorldIterator.reset(Signature sig)  | 
| Modifier and Type | Method and Description | 
|---|---|
int | 
PossibleWorld.compareTo(PossibleWorld arg0)  | 
| Modifier and Type | Method and Description | 
|---|---|
java.util.Set<PossibleWorld> | 
PropositionalFormula.getModels()
Returns the set of models of this formula wrt. 
 | 
java.util.Set<PossibleWorld> | 
Tautology.getModels(PropositionalSignature sig)  | 
abstract java.util.Set<PossibleWorld> | 
PropositionalFormula.getModels(PropositionalSignature sig)
Returns the set of models of this formula wrt. 
 | 
java.util.Set<PossibleWorld> | 
Proposition.getModels(PropositionalSignature sig)  | 
java.util.Set<PossibleWorld> | 
Negation.getModels(PropositionalSignature sig)  | 
java.util.Set<PossibleWorld> | 
Disjunction.getModels(PropositionalSignature sig)  | 
java.util.Set<PossibleWorld> | 
Contradiction.getModels(PropositionalSignature sig)  | 
java.util.Set<PossibleWorld> | 
Conjunction.getModels(PropositionalSignature sig)  | 
| Modifier and Type | Field and Description | 
|---|---|
private java.util.List<PossibleWorld> | 
RandomPlBeliefSetSampler.allWorlds
All possible worlds 
 | 
private java.util.List<PossibleWorld> | 
EnumeratingPlBeliefSetSampler.allWorlds
All possible worlds 
 |