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This artifact provides the implementation of the AAAR learning algorithm as described in the paper "Automata
Learning with Automated Alphabet Abstraction Refinement" (https://dx.doi.org/10.1007/978-3-642-18275-4_19) by
Falk Howar, Bernhard Steffen, and Maik Merten.
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/* Copyright (C) 2013-2023 TU Dortmund
* This file is part of LearnLib, http://www.learnlib.de/.
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
package de.learnlib.algorithm.aaar.generic;
import java.util.Collection;
import java.util.Collections;
import java.util.function.Function;
import de.learnlib.algorithm.LearnerConstructor;
import de.learnlib.algorithm.LearningAlgorithm;
import de.learnlib.algorithm.aaar.AbstractAAARLearner;
import de.learnlib.algorithm.aaar.abstraction.AbstractAbstractionTree;
import de.learnlib.algorithm.aaar.abstraction.GenericAbstractionTree;
import de.learnlib.algorithm.aaar.explicit.AbstractExplicitAAARLearner;
import de.learnlib.oracle.MembershipOracle;
import net.automatalib.alphabet.Alphabet;
import net.automatalib.alphabet.Alphabets;
import net.automatalib.alphabet.SupportsGrowingAlphabet;
/**
* A "generic" refinement of the {@link AbstractAAARLearner}. This implementation uses a single
* {@link GenericAbstractionTree} for transforming concrete input symbols to abstract ones. This may be useful if no
* prior knowledge about abstract symbol classes is available (cf. {@link AbstractExplicitAAARLearner}). This
* implementation only requires a single concrete input symbol to start in the inference process and a rather generic
* {@link Function abstractor} to create new abstract input symbols.
*
* @param
* learner type
* @param
* abstract model type
* @param
* concrete model type
* @param
* abstract input symbol type
* @param
* concrete input symbol type
* @param
* output domain type
*/
public abstract class AbstractGenericAAARLearner & SupportsGrowingAlphabet, AM, CM, AI, CI, D>
extends AbstractAAARLearner {
private final AI initialAbstract;
private final CI initialConcrete;
private final GenericAbstractionTree tree;
/**
* Constructor.
*
* @param learnerConstructor
* the provider for constructing the internal (concrete) learner
* @param oracle
* the (concrete) membership oracle
* @param initialConcrete
* the initial (concrete) input symbol used for starting the learning process
* @param abstractor
* the function for creating new abstract input symbols given concrete one. This function only receives
* input symbols from the provided (concrete) counterexamples
*/
public AbstractGenericAAARLearner(LearnerConstructor learnerConstructor,
MembershipOracle oracle,
CI initialConcrete,
Function abstractor) {
super(learnerConstructor, oracle);
this.initialConcrete = initialConcrete;
this.initialAbstract = abstractor.apply(initialConcrete);
this.tree = new GenericAbstractionTree<>(this.initialAbstract, initialConcrete, oracle, abstractor);
}
@Override
public Alphabet getLearnerAlphabet() {
return Alphabets.fromCollection(this.tree.getRepresentativeSymbols());
}
@Override
protected AbstractAbstractionTree getTreeForRepresentative(CI ci) {
return this.tree;
}
@Override
protected Collection getInitialAbstracts() {
return Collections.singleton(this.initialAbstract);
}
@Override
protected Collection getInitialRepresentatives() {
return Collections.singleton(this.initialConcrete);
}
public GenericAbstractionTree getAbstractionTree() {
return this.tree;
}
}
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