Package de.learnlib.algorithm.lstar.moore

Class ExtensibleLStarMoore<I,O>

java.lang.Object

de.learnlib.algorithm.lstar.AbstractLStar<A,I,D>

de.learnlib.algorithm.lstar.AbstractAutomatonLStar<A,I,D,S,T,SP,TP,AI>

de.learnlib.algorithm.lstar.AbstractExtensibleAutomatonLStar<MooreMachine<?,I,?,O>,I,Word<O>,Integer,Integer,O,Void,CompactMoore<I,O>>

de.learnlib.algorithm.lstar.moore.ExtensibleLStarMoore<I,O>

Type Parameters:

I - input symbol type

O - output symbol type

All Implemented Interfaces:

GlobalSuffixLearner<MooreMachine<?,I,?,O>,I,Word<O>>, LearningAlgorithm<MooreMachine<?,I,?,O>,I,Word<O>>, LearningAlgorithm.MooreLearner<I,O>, ObservationTableFeature<I,Word<O>>, OTLearner<MooreMachine<?,I,?,O>,I,Word<O>>, OTLearner.OTLearnerMoore<I,O>, Resumable<AutomatonLStarState<I,Word<O>,CompactMoore<I,O>,Integer>>, SupportsGrowingAlphabet<I>

Direct Known Subclasses:

MalerPnueliMoore, RivestSchapireMoore

public class ExtensibleLStarMoore<I,O>
extends AbstractExtensibleAutomatonLStar<MooreMachine<?,I,?,O>,I,Word<O>,Integer,Integer,O,Void,CompactMoore<I,O>>
implements OTLearner.OTLearnerMoore<I,O>

A MooreMachine-based specialization of the extensible L* learner.

Nested Class Summary

Nested classes/interfaces inherited from class de.learnlib.algorithm.lstar.AbstractExtensibleAutomatonLStar

AbstractExtensibleAutomatonLStar.BuilderDefaults

Nested classes/interfaces inherited from interface de.learnlib.algorithm.GlobalSuffixLearner

GlobalSuffixLearner.GlobalSuffixLearnerDFA<I>, GlobalSuffixLearner.GlobalSuffixLearnerMealy<I,O>

Nested classes/interfaces inherited from interface de.learnlib.algorithm.LearningAlgorithm

LearningAlgorithm.DFALearner<I>, LearningAlgorithm.MealyLearner<I,O>, LearningAlgorithm.MooreLearner<I,O>, LearningAlgorithm.NFALearner<I>

Nested classes/interfaces inherited from interface de.learnlib.datastructure.observationtable.OTLearner

OTLearner.OTLearnerDFA<I>, OTLearner.OTLearnerMealy<I,O>, OTLearner.OTLearnerMoore<I,O>

Field Summary

Fields inherited from class de.learnlib.algorithm.lstar.AbstractExtensibleAutomatonLStar

cexHandler, closingStrategy, initialPrefixes, initialSuffixes

Fields inherited from class de.learnlib.algorithm.lstar.AbstractAutomatonLStar

internalHyp, stateInfos

Fields inherited from class de.learnlib.algorithm.lstar.AbstractLStar

alphabet, oracle, table

Constructor Summary

Constructors

Constructor	Description
ExtensibleLStarMoore(Alphabet<I> alphabet, MembershipOracle<I,Word<O>> oracle, List<Word<I>> initialSuffixes, ObservationTableCEXHandler<? super I,? super Word<O>> cexHandler, ClosingStrategy<? super I,? super Word<O>> closingStrategy)
ExtensibleLStarMoore(Alphabet<I> alphabet, MembershipOracle<I,Word<O>> oracle, List<Word<I>> initialPrefixes, List<Word<I>> initialSuffixes, ObservationTableCEXHandler<? super I,? super Word<O>> cexHandler, ClosingStrategy<? super I,? super Word<O>> closingStrategy)

Method Summary

Modifier and Type	Method	Description
MooreMachine<?,I,?,O>	getHypothesisModel()	Returns the current hypothesis model.
protected SuffixOutput<I,Word<O>>	hypothesisOutput()
protected O	stateProperty(ObservationTable<I,Word<O>> table, Row<I> stateRow)	Derives a state property from the corresponding row.
protected Void	transitionProperty(ObservationTable<I,Word<O>> table, Row<I> stateRow, int inputIdx)	Derives a transition property from the corresponding transition.

Methods inherited from class de.learnlib.algorithm.lstar.AbstractExtensibleAutomatonLStar

initialPrefixes, initialSuffixes, refineHypothesisInternal, selectClosingRows

Methods inherited from class de.learnlib.algorithm.lstar.AbstractAutomatonLStar

addAlphabetSymbol, createState, doRefineHypothesis, resume, setTransition, startLearning, suspend, updateInternalHypothesis

Methods inherited from class de.learnlib.algorithm.lstar.AbstractLStar

addGlobalSuffixes, analyzeInconsistency, completeConsistentTable, getGlobalSuffixes, getObservationTable, incorporateCounterExample, refineHypothesis

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Methods inherited from interface de.learnlib.algorithm.LearningAlgorithm

refineHypothesis, startLearning

Methods inherited from interface de.learnlib.datastructure.observationtable.ObservationTableFeature

getObservationTable

Constructor Detail

ExtensibleLStarMoore

public ExtensibleLStarMoore(Alphabet<I> alphabet,
                            MembershipOracle<I,Word<O>> oracle,
                            List<Word<I>> initialSuffixes,
                            ObservationTableCEXHandler<? super I,? super Word<O>> cexHandler,
                            ClosingStrategy<? super I,? super Word<O>> closingStrategy)

ExtensibleLStarMoore

public ExtensibleLStarMoore(Alphabet<I> alphabet,
                            MembershipOracle<I,Word<O>> oracle,
                            List<Word<I>> initialPrefixes,
                            List<Word<I>> initialSuffixes,
                            ObservationTableCEXHandler<? super I,? super Word<O>> cexHandler,
                            ClosingStrategy<? super I,? super Word<O>> closingStrategy)

Method Detail

getHypothesisModel

public MooreMachine<?,I,?,O> getHypothesisModel()

Description copied from interface: LearningAlgorithm

Returns the current hypothesis model.

N.B.: By the contract of this interface, the model returned by this method may not be modified (i.e., M generally should refer to an immutable interface), and its validity is retained only until the next invocation of LearningAlgorithm.refineHypothesis(DefaultQuery). If older hypotheses have to be maintained, a copy of the returned model must be made.

Please note that it should be illegal to invoke this method before an initial invocation of LearningAlgorithm.startLearning().

Specified by:

getHypothesisModel in interface LearningAlgorithm<MooreMachine<?,I,?,O>,I,Word<O>>

Returns:

the current hypothesis model.

stateProperty

protected O stateProperty(ObservationTable<I,Word<O>> table,
                          Row<I> stateRow)

Description copied from class: AbstractAutomatonLStar

Derives a state property from the corresponding row.

Specified by:

stateProperty in class AbstractAutomatonLStar<MooreMachine<?,I,?,O>,I,Word<O>,Integer,Integer,O,Void,CompactMoore<I,O>>

Parameters:

table - the current observation table

stateRow - the row for which the state is created

Returns:

the state property of the corresponding state

transitionProperty

protected Void transitionProperty(ObservationTable<I,Word<O>> table,
                                  Row<I> stateRow,
                                  int inputIdx)

Description copied from class: AbstractAutomatonLStar

Derives a transition property from the corresponding transition.

N.B.: Not the transition row is passed to this method, but the row for the outgoing state. The transition row can be retrieved using Row.getSuccessor(int).

Specified by:

transitionProperty in class AbstractAutomatonLStar<MooreMachine<?,I,?,O>,I,Word<O>,Integer,Integer,O,Void,CompactMoore<I,O>>

stateRow - the row for the source state

inputIdx - the index of the input symbol to consider

Returns:

the transition property of the corresponding transition

hypothesisOutput

protected SuffixOutput<I,Word<O>> hypothesisOutput()

Specified by:

hypothesisOutput in class AbstractLStar<MooreMachine<?,I,?,O>,I,Word<O>>