ApproximateNaiveMlnReasoner

java.lang.Object
- net.sf.tweety.logics.mln.reasoner.AbstractMlnReasoner
- - net.sf.tweety.logics.mln.reasoner.ApproximateNaiveMlnReasoner

All Implemented Interfaces:

QuantitativeReasoner<MarkovLogicNetwork,FolFormula>, Reasoner<java.lang.Double,MarkovLogicNetwork,FolFormula>
```
public class ApproximateNaiveMlnReasoner
extends AbstractMlnReasoner
```
This reasoner performs approximate reasoning with MLNs by considering only a subset of all Herbrand interpretations. This subset is chosen by first randomly selecting a set of Herbrand interpretations and then selecting the subset of this set with maximum weights.

Author:

Matthias Thimm

Constructor Summary

Constructors
Constructor	Description
`ApproximateNaiveMlnReasoner(long maxNumberOfSelectedInterpretations, long maxNumberOfInterpretationsForModel)`	Creates a new ApproximateNaiveMlnReasoner.

Method Summary

Modifier and Type	Method	Description
`java.util.Map<HerbrandInterpretation,java.lang.Double>`	`computeModel(MarkovLogicNetwork mln, FolSignature signature)`	Computes the model of the given MLN wrt.

Methods inherited from class net.sf.tweety.logics.mln.reasoner.AbstractMlnReasoner
query, query

Methods inherited from class java.lang.Object
equals, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

- Constructor Detail
  - ApproximateNaiveMlnReasoner
```
public ApproximateNaiveMlnReasoner(long maxNumberOfSelectedInterpretations,
                                   long maxNumberOfInterpretationsForModel)
```
    Creates a new ApproximateNaiveMlnReasoner.
    
    Parameters:
    
    maxNumberOfSelectedInterpretations - the maximum number of interpretations selected from the whole set of interpretations. Is -1 if all interpretations are to be selected.
    
    maxNumberOfInterpretationsForModel - the maximum number of interpretations used for the model. Those interpretations are the subset of the interpretations selected with maximum weight. Is -1 if all interpretations are used for the model. It has to be maxNumberOfSelectedInterpretations >= maxNumberOfInterpretationsForModel.
- Method Detail
  - computeModel
```
public java.util.Map<HerbrandInterpretation,java.lang.Double> computeModel(MarkovLogicNetwork mln,
                                                                                 FolSignature signature)
```
    Computes the model of the given MLN wrt. the optimization parameters
    
    Parameters:
    
    mln - some mln
    
    signature - some signature
    
    Returns:
    
    the model of the given MLN wrt. the optimization parameters.