Module de.learnlib.algorithm.aaar

Package de.learnlib.algorithm.aaar.generic

Class AbstractGenericAAARLearner<L extends LearningAlgorithm<CM,CI,D> & net.automatalib.alphabet.SupportsGrowingAlphabet<CI>,AM,CM,AI,CI,D>

java.lang.Object

de.learnlib.algorithm.aaar.AbstractAAARLearner<L,AM,CM,AI,CI,D>

de.learnlib.algorithm.aaar.generic.AbstractGenericAAARLearner<L,AM,CM,AI,CI,D>

Type Parameters:

L - learner type

AM - abstract model type

CM - concrete model type

AI - abstract input symbol type

CI - concrete input symbol type

D - output domain type

All Implemented Interfaces:

LearningAlgorithm<AM,CI,D>

Direct Known Subclasses:

GenericAAARLearnerDFA, GenericAAARLearnerMealy, GenericAAARLearnerMoore

public abstract class AbstractGenericAAARLearner<L extends LearningAlgorithm<CM,CI,D> & net.automatalib.alphabet.SupportsGrowingAlphabet<CI>,AM,CM,AI,CI,D>
extends AbstractAAARLearner<L,AM,CM,AI,CI,D>

A "generic" refinement of the AbstractAAARLearner. This implementation uses a single GenericAbstractionTree for transforming concrete input symbols to abstract ones. This may be useful if no prior knowledge about abstract symbol classes is available (cf. AbstractExplicitAAARLearner). This implementation only requires a single concrete input symbol to start in the inference process and a rather generic abstractor to create new abstract input symbols.

Nested Class Summary

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

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

Constructor Summary

Constructors

Constructor	Description
AbstractGenericAAARLearner(LearnerConstructor<L,CI,D> learnerConstructor, MembershipOracle<CI,D> oracle, CI initialConcrete, Function<CI,AI> abstractor)	Constructor.

Method Summary

Modifier and Type	Method	Description
GenericAbstractionTree<AI,CI,D>	getAbstractionTree()
protected Collection<AI>	getInitialAbstracts()
protected Collection<CI>	getInitialRepresentatives()
net.automatalib.alphabet.Alphabet<CI>	getLearnerAlphabet()	Returns the (concrete) alphabet of the current (concrete) internal hypothesis model (cf.
protected AbstractAbstractionTree<AI,CI,D>	getTreeForRepresentative(CI ci)

Methods inherited from class de.learnlib.algorithm.aaar.AbstractAAARLearner

copyAbstract, getAbstractAlphabet, getLearner, getLearnerHypothesisModel, getTranslatingHypothesisModel, refineHypothesis, startLearning

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

getHypothesisModel

Constructor Detail

AbstractGenericAAARLearner

public AbstractGenericAAARLearner(LearnerConstructor<L,CI,D> learnerConstructor,
                                  MembershipOracle<CI,D> oracle,
                                  CI initialConcrete,
                                  Function<CI,AI> abstractor)

Constructor.

Parameters:

learnerConstructor - the provider for constructing the internal (concrete) learner

oracle - the (concrete) membership oracle

initialConcrete - the initial (concrete) input symbol used for starting the learning process

abstractor - the function for creating new abstract input symbols given concrete one. This function only receives input symbols from the provided (concrete) counterexamples

Method Detail

getLearnerAlphabet

public net.automatalib.alphabet.Alphabet<CI> getLearnerAlphabet()

Description copied from class: AbstractAAARLearner

Returns the (concrete) alphabet of the current (concrete) internal hypothesis model (cf. AbstractAAARLearner.getLearnerHypothesisModel()).

Specified by:

getLearnerAlphabet in class AbstractAAARLearner<L extends LearningAlgorithm<CM,CI,D> & net.automatalib.alphabet.SupportsGrowingAlphabet<CI>,AM,CM,AI,CI,D>

Returns:

the (concrete) alphabet of the current (concrete) internal hypothesis model

getTreeForRepresentative

protected AbstractAbstractionTree<AI,CI,D> getTreeForRepresentative(CI ci)

Specified by:

getTreeForRepresentative in class AbstractAAARLearner<L extends LearningAlgorithm<CM,CI,D> & net.automatalib.alphabet.SupportsGrowingAlphabet<CI>,AM,CM,AI,CI,D>

getInitialAbstracts

protected Collection<AI> getInitialAbstracts()

Specified by:

getInitialAbstracts in class AbstractAAARLearner<L extends LearningAlgorithm<CM,CI,D> & net.automatalib.alphabet.SupportsGrowingAlphabet<CI>,AM,CM,AI,CI,D>

getInitialRepresentatives

protected Collection<CI> getInitialRepresentatives()

Specified by:

getInitialRepresentatives in class AbstractAAARLearner<L extends LearningAlgorithm<CM,CI,D> & net.automatalib.alphabet.SupportsGrowingAlphabet<CI>,AM,CM,AI,CI,D>

getAbstractionTree

public GenericAbstractionTree<AI,CI,D> getAbstractionTree()