Module de.learnlib.algorithm.lambda

Package de.learnlib.algorithm.lambda.lstar

Class LLambdaDFA<I>

java.lang.Object

de.learnlib.algorithm.lambda.lstar.LLambdaDFA<I>

All Implemented Interfaces:

LearningAlgorithm<net.automatalib.automaton.fsa.DFA<?,I>,I,Boolean>, LearningAlgorithm.DFALearner<I>, Resumable<LLambdaState<I,Boolean>>, net.automatalib.alphabet.SupportsGrowingAlphabet<I>, net.automatalib.automaton.concept.FiniteRepresentation

Direct Known Subclasses:

LLambdaAdapterDFA

public class LLambdaDFA<I>
extends Object
implements LearningAlgorithm.DFALearner<I>

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
LLambdaDFA(net.automatalib.alphabet.Alphabet<I> sigma, MembershipOracle<I,Boolean> mqo)
LLambdaDFA(net.automatalib.alphabet.Alphabet<I> sigma, MembershipOracle<I,Boolean> mqs, MembershipOracle<I,Boolean> ceqs)

Method Summary

Modifier and Type	Method	Description
void	addAlphabetSymbol(I symbol)
net.automatalib.automaton.fsa.DFA<?,I>	getHypothesisModel()	Returns the current hypothesis model.
protected List<net.automatalib.word.Word<I>>	getShortPrefixes(List<D> rowData)
boolean	refineHypothesis(DefaultQuery<I,D> counterexample)	Triggers a refinement of the model by providing a counterexample.
void	resume(LLambdaState<I,D> state)	Resume the datastructure from a previously suspended point in time.
protected List<Boolean>	rowForState(net.automatalib.word.Word<I> input)
int	size()
void	startLearning()	Starts the model inference process, creating an initial hypothesis in the provided model object.
LLambdaState<I,D>	suspend()	Expose the state object.

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

Constructor Detail

LLambdaDFA

public LLambdaDFA(net.automatalib.alphabet.Alphabet<I> sigma,
                  MembershipOracle<I,Boolean> mqo)

LLambdaDFA

public LLambdaDFA(net.automatalib.alphabet.Alphabet<I> sigma,
                  MembershipOracle<I,Boolean> mqs,
                  MembershipOracle<I,Boolean> ceqs)

Method Detail

size

public int size()

Specified by:

size in interface net.automatalib.automaton.concept.FiniteRepresentation

rowForState

protected List<Boolean> rowForState(net.automatalib.word.Word<I> input)

getHypothesisModel

public net.automatalib.automaton.fsa.DFA<?,I> 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 should not be modified by external code (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<net.automatalib.automaton.fsa.DFA<?,I>,I,Boolean>

Returns:

the current hypothesis model.

addAlphabetSymbol

public void addAlphabetSymbol(I symbol)

Specified by:

addAlphabetSymbol in interface net.automatalib.alphabet.SupportsGrowingAlphabet<I>

startLearning

public void startLearning()

Description copied from interface: LearningAlgorithm

Starts the model inference process, creating an initial hypothesis in the provided model object. Please note that it should be illegal to invoke this method twice.

Specified by:

startLearning in interface LearningAlgorithm<M extends net.automatalib.automaton.concept.SuffixOutput<I,D>,I,D>

refineHypothesis

public boolean refineHypothesis(DefaultQuery<I,D> counterexample)

Description copied from interface: LearningAlgorithm

Triggers a refinement of the model by providing a counterexample. A counterexample is a query which exposes different behavior of the real SUL compared to the hypothesis. Please note that invoking this method before an initial invocation of LearningAlgorithm.startLearning() should be illegal.

Specified by:

refineHypothesis in interface LearningAlgorithm<M extends net.automatalib.automaton.concept.SuffixOutput<I,D>,I,D>

Parameters:

counterexample - the query which exposes diverging behavior, as posed to the real SUL (i.e. with the SULs output).

Returns:

true if the counterexample triggered a refinement of the hypothesis, false otherwise (i.e., it was no counterexample).

getShortPrefixes

protected List<net.automatalib.word.Word<I>> getShortPrefixes(List<D> rowData)

suspend

public LLambdaState<I,D> suspend()

Description copied from interface: Resumable

Expose the state object.

Specified by:

suspend in interface Resumable<M extends net.automatalib.automaton.concept.SuffixOutput<I,D>>

Returns:

The state.

resume

public void resume(LLambdaState<I,D> state)

Description copied from interface: Resumable

Resume the datastructure from a previously suspended point in time.

Specified by:

resume in interface Resumable<M extends net.automatalib.automaton.concept.SuffixOutput<I,D>>

Parameters:

state - The learner state.