Index
All Classes and Interfaces|All Packages|Constant Field Values|Serialized Form
M
- main() - Method in class SafExample
 - main(String[]) - Static method in class org.tweetyproject.agents.dialogues.examples.GroundedTest
 - main(String[]) - Static method in class org.tweetyproject.agents.dialogues.examples.GroundedTest2
 - main(String[]) - Static method in class org.tweetyproject.agents.dialogues.examples.LotteryDialogueTest
 - main(String[]) - Static method in class org.tweetyproject.agents.dialogues.examples.LotteryDialogueTest2
 - 
Main method for evaluation.
 - main(String[]) - Static method in class org.tweetyproject.arg.aba.examples.AbaExample
 - main(String[]) - Static method in class org.tweetyproject.arg.adf.cli.CommandLineInterface
 - main(String[]) - Static method in class org.tweetyproject.arg.adf.examples.ADFExample
 - main(String[]) - Static method in class org.tweetyproject.arg.aspic.examples.AspicExample
 - main(String[]) - Static method in class org.tweetyproject.arg.aspic.examples.AspicExample2
 - main(String[]) - Static method in class org.tweetyproject.arg.aspic.examples.AspicExampleFol
 - main(String[]) - Static method in class org.tweetyproject.arg.aspic.examples.AspicGeneratorExample
 - main(String[]) - Static method in class org.tweetyproject.arg.aspic.examples.AspicGeneratorExample2
 - main(String[]) - Static method in class org.tweetyproject.arg.aspic.examples.AspicGeneratorExample3
 - main(String[]) - Static method in class org.tweetyproject.arg.aspic.examples.DirectionalReasonerTest
 - main(String[]) - Static method in class org.tweetyproject.arg.bipolar.examples.admissibleExample
 - main(String[]) - Static method in class org.tweetyproject.arg.bipolar.examples.AllPEAFInducerExample
 - main(String[]) - Static method in class org.tweetyproject.arg.bipolar.examples.ApproximateJustificationAnalysisExample
 - main(String[]) - Static method in class org.tweetyproject.arg.bipolar.examples.CheckIfSelfSupportingExample
 - main(String[]) - Static method in class org.tweetyproject.arg.bipolar.examples.DeductiveArgumentation
 - main(String[]) - Static method in class org.tweetyproject.arg.bipolar.examples.EAFExample
 - main(String[]) - Static method in class org.tweetyproject.arg.bipolar.examples.EasyPEAFExample
 - main(String[]) - Static method in class org.tweetyproject.arg.bipolar.examples.EvidentialAcceptability
 - main(String[]) - Static method in class org.tweetyproject.arg.bipolar.examples.EvidentialArgumentation
 - main(String[]) - Static method in class org.tweetyproject.arg.bipolar.examples.EvidentialArgumentation2
 - main(String[]) - Static method in class org.tweetyproject.arg.bipolar.examples.ExpandMCExample
 - main(String[]) - Static method in class org.tweetyproject.arg.bipolar.examples.JustificationAnalysisExample
 - main(String[]) - Static method in class org.tweetyproject.arg.bipolar.examples.LiThesisPage21EAFExample
 - main(String[]) - Static method in class org.tweetyproject.arg.bipolar.examples.MeetingPEAFExample
 - main(String[]) - Static method in class org.tweetyproject.arg.bipolar.examples.NecessityArgumentation
 - main(String[]) - Static method in class org.tweetyproject.arg.bipolar.examples.OrenEtAl2010Figure2Example
 - main(String[]) - Static method in class org.tweetyproject.arg.bipolar.examples.SomePEAFInducerExample
 - main(String[]) - Static method in class org.tweetyproject.arg.deductive.examples.DeductiveExample
 - main(String[]) - Static method in class org.tweetyproject.arg.deductive.examples.SimplePlLogicExample
 - main(String[]) - Static method in class org.tweetyproject.arg.delp.examples.DeLPExample
 - main(String[]) - Static method in class org.tweetyproject.arg.delp.syntax.DefeasibleLogicProgram
 - 
Parsing DeLP from given file and performing given query against it.
 - main(String[]) - Static method in class org.tweetyproject.arg.dung.examples.AcceptabilityReasonerExample
 - main(String[]) - Static method in class org.tweetyproject.arg.dung.examples.AFLearnerExample
 - 
main method
 - main(String[]) - Static method in class org.tweetyproject.arg.dung.examples.CF2Example
 - main(String[]) - Static method in class org.tweetyproject.arg.dung.examples.ClaimBasedReasonersTest
 - 
main method
 - main(String[]) - Static method in class org.tweetyproject.arg.dung.examples.DivisionExample
 - main(String[]) - Static method in class org.tweetyproject.arg.dung.examples.DungTheoryGeneratorExample
 - main(String[]) - Static method in class org.tweetyproject.arg.dung.examples.ExampleFinderExample
 - main(String[]) - Static method in class org.tweetyproject.arg.dung.examples.ExtendedExampleFinderExample
 - main(String[]) - Static method in class org.tweetyproject.arg.dung.examples.ExtensionRankingExample
 - 
Shows extension ranks of a theory for the respective semantic
 - main(String[]) - Static method in class org.tweetyproject.arg.dung.examples.IncompleteReasonerExample
 - 
main method
 - main(String[]) - Static method in class org.tweetyproject.arg.dung.examples.IndependenceExample
 - main(String[]) - Static method in class org.tweetyproject.arg.dung.examples.KwtGeneratorExample
 - main(String[]) - Static method in class org.tweetyproject.arg.dung.examples.LearningExample
 - main(String[]) - Static method in class org.tweetyproject.arg.dung.examples.NiskanenExample
 - main(String[]) - Static method in class org.tweetyproject.arg.dung.examples.PrincipleExample
 - main(String[]) - Static method in class org.tweetyproject.arg.dung.examples.QualifiedExample
 - main(String[]) - Static method in class org.tweetyproject.arg.dung.examples.ResolutionbasedSolverTest
 - main(String[]) - Static method in class org.tweetyproject.arg.dung.examples.StratifiedLabelingExample
 - main(String[]) - Static method in class org.tweetyproject.arg.dung.examples.StrongAdmissibleExample
 - main(String[]) - Static method in class org.tweetyproject.arg.dung.examples.StrongEquivalenceExample
 - main(String[]) - Static method in class org.tweetyproject.arg.dung.examples.VacuousReductReasonerExample
 - main(String[]) - Static method in class org.tweetyproject.arg.dung.examples.WeakSemanticsExample
 - main(String[]) - Static method in class org.tweetyproject.arg.prob.examples.LotteryExample
 - main(String[]) - Static method in class org.tweetyproject.arg.prob.examples.PAInconsistencyMeasureExample
 - main(String[]) - Static method in class org.tweetyproject.arg.prob.examples.SubgraphProbExample
 - main(String[]) - Static method in class org.tweetyproject.arg.rankings.examples.CounterTransitivityReasonerExample
 - main(String[]) - Static method in class org.tweetyproject.arg.rankings.examples.IteratedGradedDefenseReasonerExample
 - main(String[]) - Static method in class org.tweetyproject.arg.rankings.examples.ProbabilisticRankingReasonerExample
 - main(String[]) - Static method in class org.tweetyproject.arg.rankings.examples.RankingPostulatesExample
 - main(String[]) - Static method in class org.tweetyproject.arg.rankings.examples.RankingSemanticsExample
 - main(String[]) - Static method in class org.tweetyproject.arg.rankings.examples.RankingSemanticsExample2
 - main(String[]) - Static method in class org.tweetyproject.arg.rankings.examples.SerialisableRankingReasonerExample
 - main(String[]) - Static method in class org.tweetyproject.arg.setaf.examples.SetAfTheoryTest
 - main(String[]) - Static method in class org.tweetyproject.arg.social.examples.SafExample
 - main(String[]) - Static method in class org.tweetyproject.beliefdynamics.examples.AbstractArgumentationExample
 - main(String[]) - Static method in class org.tweetyproject.beliefdynamics.examples.CrMasExample
 - main(String[]) - Static method in class org.tweetyproject.beliefdynamics.gui.RevisionComparePresenter
 - 
Functional Test method: Only shows the view in a JFrame to test resize behavior.
 - main(String[]) - Static method in class org.tweetyproject.cli.plugins.CliMain
 - main(String[]) - Static method in class org.tweetyproject.cli.TweetyCli
 - 
Program entry.
Current program call:
- java -jar TweetyCLI.jar --input RPCLKBFILE --parser rpclme --output RPCLPROBFILE --writer X --options [rpcl.semantics=Y,rpcl.inference=Z]
* - java -jar TweetyCLI.jar --input RPCLKBFILE RPCLPROBFILE --parser rpclme X --query=SOMEQUERY --options [rpcl.semantics=Y,rpcl.inference=Z] with X\in{rpclmeProb, rpclmeCondProb}, Y\in {averaging,aggregating}, Z\in{standard,lifted} - main(String[]) - Static method in class org.tweetyproject.commons.util.ExamplesHTMLGenerator
 - main(String[]) - Static method in class org.tweetyproject.graphs.examples.GraphExample
 - 
main
 - main(String[]) - Static method in class org.tweetyproject.graphs.examples.GraphExample2
 - 
main
 - main(String[]) - Static method in class org.tweetyproject.graphs.examples.HyperGraphExample
 - 
main
 - main(String[]) - Static method in class org.tweetyproject.logics.bpm.examples.Example
 - 
Specify BPMN models for which the functionalities of inconsistency analysis are to be visualized
 - main(String[]) - Static method in class org.tweetyproject.logics.cl.examples.CReasonerExample
 - main(String[]) - Static method in class org.tweetyproject.logics.cl.examples.ReasonerExample
 - main(String[]) - Static method in class org.tweetyproject.logics.dl.examples.DlExample
 - main(String[]) - Static method in class org.tweetyproject.logics.fol.examples.FolExample
 - main(String[]) - Static method in class org.tweetyproject.logics.fol.examples.StandardFolWriterExample
 - main(String[]) - Static method in class org.tweetyproject.logics.fol.examples.TPTPParserExample
 - main(String[]) - Static method in class org.tweetyproject.logics.ml.examples.MlExample
 - main(String[]) - Static method in class org.tweetyproject.logics.ml.examples.MlExample2
 - main(String[]) - Static method in class org.tweetyproject.logics.mln.examples.AlchemyExample
 - main(String[]) - Static method in class org.tweetyproject.logics.mln.examples.ApproximationExample
 - main(String[]) - Static method in class org.tweetyproject.logics.mln.examples.MlnExample
 - main(String[]) - Static method in class org.tweetyproject.logics.mln.examples.MlnExample2
 - main(String[]) - Static method in class org.tweetyproject.logics.pcl.analysis.MaximumEntropyMachineShop
 - main(String[]) - Static method in class org.tweetyproject.logics.pcl.examples.AnalysisExample
 - main(String[]) - Static method in class org.tweetyproject.logics.pcl.examples.MaxEntExample
 - main(String[]) - Static method in class org.tweetyproject.logics.pcl.examples.RepairExample
 - main(String[]) - Static method in class org.tweetyproject.logics.pcl.util.MatlabUtils
 - 
Simple application example yielding the matlab script for spam example from [Potyka, Thimm, 2014].
 - main(String[]) - Static method in class org.tweetyproject.logics.pl.examples.A_sebi
 - main(String[]) - Static method in class org.tweetyproject.logics.pl.examples.ContensionExample
 - 
main
 - main(String[]) - Static method in class org.tweetyproject.logics.pl.examples.DfInconsistencyMeasureExample
 - 
main
 - main(String[]) - Static method in class org.tweetyproject.logics.pl.examples.DSumMeasureExample
 - 
main
 - main(String[]) - Static method in class org.tweetyproject.logics.pl.examples.FuzzyMeasureExample
 - 
main
 - main(String[]) - Static method in class org.tweetyproject.logics.pl.examples.IcebergInconsistencyExample
 - 
main
 - main(String[]) - Static method in class org.tweetyproject.logics.pl.examples.ImPostulateEvaluationExample
 - 
main
 - main(String[]) - Static method in class org.tweetyproject.logics.pl.examples.InconsistencyMeasureEvaluationExample
 - 
main
 - main(String[]) - Static method in class org.tweetyproject.logics.pl.examples.MaMeasureExample
 - 
main
 - main(String[]) - Static method in class org.tweetyproject.logics.pl.examples.MaxSatExample
 - 
main
 - main(String[]) - Static method in class org.tweetyproject.logics.pl.examples.McscInconsistencyMeasureExample
 - 
main
 - main(String[]) - Static method in class org.tweetyproject.logics.pl.examples.MinimalInconsistentSubsetExample
 - 
main
 - main(String[]) - Static method in class org.tweetyproject.logics.pl.examples.MusExample
 - 
main
 - main(String[]) - Static method in class org.tweetyproject.logics.pl.examples.PlExample
 - 
main
 - main(String[]) - Static method in class org.tweetyproject.logics.pl.examples.PmMeasureExample
 - 
main
 - main(String[]) - Static method in class org.tweetyproject.logics.pl.examples.PrimeImplicantTest
 - main(String[]) - Static method in class org.tweetyproject.logics.pl.examples.SatSolverExample
 - 
main
 - main(String[]) - Static method in class org.tweetyproject.logics.pl.examples.SimplePlInterpolantEnumeratorExample
 - 
main
 - main(String[]) - Static method in class org.tweetyproject.logics.pl.examples.StreamInconsistencyEvaluationExample
 - 
main
 - main(String[]) - Static method in class org.tweetyproject.logics.pl.examples.StreamInconsistencyEvaluationExample2
 - 
main
 - main(String[]) - Static method in class org.tweetyproject.logics.pl.examples.SyntacticEnumeratingPlBeliefSetSamplerExample
 - 
main
 - main(String[]) - Static method in class org.tweetyproject.logics.pl.examples.SyntacticRandomPlBeliefSetSamplerExample
 - 
main
 - main(String[]) - Static method in class org.tweetyproject.logics.qbf.examples.QbfExample
 - main(String[]) - Static method in class org.tweetyproject.logics.qbf.examples.QbfReasonersExample
 - main(String[]) - Static method in class org.tweetyproject.logics.rcl.examples.RclExample
 - main(String[]) - Static method in class org.tweetyproject.logics.rdl.examples.RdlExample
 - main(String[]) - Static method in class org.tweetyproject.logics.rpcl.examples.RpclMeReasonerExample
 - main(String[]) - Static method in class org.tweetyproject.logics.rpcl.examples.RpclMeReasonerExample2
 - main(String[]) - Static method in class org.tweetyproject.logics.translators.adfcl.CompareInference
 - 
Compare inference behavior of an ADF with that of an OCF induced by translation function Theta
 - main(String[]) - Static method in class org.tweetyproject.logics.translators.adfconditional.CADFSemantics
 - 
Input an ADF, calculate all possible 4-valued interpretations, apply the gamma operator Check whether the interpretations are admissible, complete, grounded, preferred or 2-valued
 - main(String[]) - Static method in class org.tweetyproject.logics.translators.adfconditional.EvaluateWorld4V
 - main(String[]) - Static method in class org.tweetyproject.logics.translators.adfpossibilistic.PossibilisticGammaOperator
 - 
Implements the Gamma Operator: Input: Old Possibility Distribution and ADF Output: New Possibility Distribution
 - main(String[]) - Static method in class org.tweetyproject.logics.translators.adfpossibilistic.RunPossibilityDistribution
 - main(String[]) - Static method in class org.tweetyproject.logics.translators.adfrevision.PreferredRevisionerADF
 - 
Revise an ADF with a Propositional Formula information-modular preorders
 - main(String[]) - Static method in class org.tweetyproject.lp.asp.beliefdynamics.baserevision.ScreenedRemainderSets
 - 
Simple test case taken from [1]
 - main(String[]) - Static method in class org.tweetyproject.lp.asp.beliefdynamics.gui.SimpleRevisionComparePresenter
 - 
Functional Test method: Only shows the view in a JFrame to test resize behavior.
 - main(String[]) - Static method in class org.tweetyproject.lp.asp.beliefdynamics.revision.CredibilityRevision
 - main(String[]) - Static method in class org.tweetyproject.lp.asp.beliefdynamics.revision.PreferenceHandling
 - main(String[]) - Static method in class org.tweetyproject.lp.asp.beliefdynamics.revision.RevisionTest
 - main(String[]) - Static method in class org.tweetyproject.lp.asp.beliefdynamics.selectiverevision.ArgumentativeSelectiveRevisionTest
 - main(String[]) - Static method in class org.tweetyproject.lp.asp.examples.AggregateExample
 - main(String[]) - Static method in class org.tweetyproject.lp.asp.examples.ASPExample
 - main(String[]) - Static method in class org.tweetyproject.lp.asp.examples.ASPParserExample
 - main(String[]) - Static method in class org.tweetyproject.lp.asp.examples.GrounderExample
 - main(String[]) - Static method in class org.tweetyproject.lp.asp.examples.OptimizeExample
 - main(String[]) - Static method in class org.tweetyproject.machinelearning.examples.FpGrowthExample
 - main(String[]) - Static method in class org.tweetyproject.machinelearning.examples.MdpExample
 - main(String[]) - Static method in class org.tweetyproject.machinelearning.examples.SvmExample
 - main(String[]) - Static method in class org.tweetyproject.machinelearning.test.SVMTest
 - main(String[]) - Static method in class org.tweetyproject.math.examples.ApacheCommonsCMAESOptimizerEx
 - 
main method
 - main(String[]) - Static method in class org.tweetyproject.math.examples.ApacheCommonsNonLinearConjugateGradientOptimizerEx
 - 
main method
 - main(String[]) - Static method in class org.tweetyproject.math.examples.ApacheCommonsSimplexEx
 - 
main method
 - main(String[]) - Static method in class org.tweetyproject.math.examples.ApacheCommonsSimplexEx2
 - 
main method
 - main(String[]) - Static method in class org.tweetyproject.math.examples.BfgsSolverEx
 - 
main method
 - main(String[]) - Static method in class org.tweetyproject.math.examples.GlpkSolverEx
 - 
main method
 - main(String[]) - Static method in class org.tweetyproject.math.examples.GradientDescentSolverEx
 - 
main method
 - main(String[]) - Static method in class org.tweetyproject.math.examples.GurobiTest
 - 
main method
 - main(String[]) - Static method in class org.tweetyproject.math.examples.HessianGradientSolverEx
 - 
main method
 - main(String[]) - Static method in class org.tweetyproject.math.examples.IteratedLocalSearchOnConstrProbEx
 - 
main method
 - main(String[]) - Static method in class org.tweetyproject.math.examples.KnapSack_solvedWithGeneticOpt
 - 
main method
 - main(String[]) - Static method in class org.tweetyproject.math.examples.KnapSack_solvedWithIteratedLocalSearch2
 - 
main method
 - main(String[]) - Static method in class org.tweetyproject.math.examples.KnapSack_solvedWithSimAn
 - 
main method
 - main(String[]) - Static method in class org.tweetyproject.math.examples.Knapsack_solvedWithStochasticLocalSearch
 - 
main method
 - main(String[]) - Static method in class org.tweetyproject.math.examples.KnapSack_solvedWithTabuSearch
 - 
main method
 - main(String[]) - Static method in class org.tweetyproject.math.examples.LagrangeSolverEx
 - 
main method
 - main(String[]) - Static method in class org.tweetyproject.math.examples.LagrangeSolverEx2
 - 
main method
 - main(String[]) - Static method in class org.tweetyproject.math.examples.LpSolverEx
 - 
main method
 - main(String[]) - Static method in class org.tweetyproject.math.examples.OctaveSqpSolverEx
 - 
main method
 - main(String[]) - Static method in class org.tweetyproject.math.examples.SimpleGeneticOptimizationSolverEx
 - 
main method
 - main(String[]) - Static method in class org.tweetyproject.math.examples.SimulatedAnnealingOnConstrProbEx2
 - 
main method
 - main(String[]) - Static method in class org.tweetyproject.math.examples.StochasticLocalSearchOnConstrProbEx
 - 
main method
 - main(String[]) - Static method in class org.tweetyproject.math.examples.TabuSearchOnConstrProbEx
 - 
main method
 - main(String[]) - Static method in class org.tweetyproject.math.examples.TestToQuadraticForm
 - 
main method
 - main(String[]) - Static method in class org.tweetyproject.math.examples.TravelingSalesman_solvedWithAntOpt
 - 
main method
 - main(String[]) - Static method in class org.tweetyproject.math.examples.TravelingSalesman_solvedWithGeneticOpt
 - 
main method
 - main(String[]) - Static method in class org.tweetyproject.math.examples.TravelingSalesman_solvedWithIteratedLocalSearch
 - 
main method
 - main(String[]) - Static method in class org.tweetyproject.math.examples.TravelingSalesman_solvedWithSimAn
 - 
main method
 - main(String[]) - Static method in class org.tweetyproject.math.examples.TravelingSalesman_solvedWithStochasticLocalSearch
 - 
main method
 - main(String[]) - Static method in class org.tweetyproject.math.examples.TravelingSalesman_solvedWithTabuSearch
 - 
main method
 - main(String[]) - Static method in class org.tweetyproject.math.examples.TravelingSalesmanEx2
 - 
main method
 - main(String[]) - Static method in class org.tweetyproject.preferences.io.POParser
 - main(String[]) - Static method in class org.tweetyproject.preferences.io.UPParser
 - main(String[]) - Static method in class org.tweetyproject.preferences.PreferencesIntegerBugExample
 - main(String[]) - Static method in class org.tweetyproject.preferences.test.ScoringPreferenceAggregatorTest
 - 
Launch the test.
 - main(String[]) - Static method in class org.tweetyproject.web.TweetyServer
 - 
Main server method.
 - main(String[]) - Method in class RpclMeReasonerExample
 - MaInconsistencyMeasure<S extends Formula> - Class in org.tweetyproject.logics.commons.analysis
 - 
This class models the I_M inconsistency measure from e.g.
 - MaInconsistencyMeasure(MusEnumerator<S>) - Constructor for class org.tweetyproject.logics.commons.analysis.MaInconsistencyMeasure
 - 
Creates a new inconsistency measure.
 - MaMeasureExample - Class in org.tweetyproject.logics.pl.examples
 - 
Example code illustrating the Ma inconsistency measure.
 - MaMeasureExample() - Constructor for class org.tweetyproject.logics.pl.examples.MaMeasureExample
 - MANHATTAN - Static variable in class org.tweetyproject.logics.pcl.reasoner.GeneralizedMeReasoner
 - manhattanDistance(double[], double[]) - Static method in class org.tweetyproject.commons.util.VectorTools
 - 
Computes the Manhattan distance between the two given vectors.
 - manhattanDistance(List<Double>, List<Double>) - Static method in class org.tweetyproject.commons.util.VectorTools
 - 
Computes the Manhattan distance between the two given lists.
 - manhattanDistanceToZero(double[]) - Static method in class org.tweetyproject.commons.util.VectorTools
 - 
Computes the Manhattan distance of the given value vector to zero
 - manhattanDistanceToZero(List<Double>) - Static method in class org.tweetyproject.commons.util.VectorTools
 - 
Computes the Manhattan distance of the given value vector to zero
 - ManhattanNorm - Class in org.tweetyproject.math.norm
 - 
The Manhattan norm.
 - ManhattanNorm() - Constructor for class org.tweetyproject.math.norm.ManhattanNorm
 - Manual - Enum constant in enum org.tweetyproject.logics.bpm.syntax.TaskType
 - 
Manual
 - ManualTest() - Method in class org.tweetyproject.arg.aspic.AspicTest
 - MapTools<E,
F> - Class in org.tweetyproject.commons.util  - 
This class provides some utility functions for maps.
 - MapTools() - Constructor for class org.tweetyproject.commons.util.MapTools
 - MarcoMusEnumerator - Class in org.tweetyproject.logics.pl.sat
 - 
Implements a MUs enumerator based on MARCO (http://sun.iwu.edu/~mliffito/marco/).
 - MarcoMusEnumerator(String) - Constructor for class org.tweetyproject.logics.pl.sat.MarcoMusEnumerator
 - 
Creates a new MUs enumerator.
 - Marking - Class in org.tweetyproject.logics.petri.syntax.reachability_graph
 - 
A class to describe markings (i.e.
 - Marking() - Constructor for class org.tweetyproject.logics.petri.syntax.reachability_graph.Marking
 - 
Create a new instance
 - Marking(List<Place>) - Constructor for class org.tweetyproject.logics.petri.syntax.reachability_graph.Marking
 - 
Create a new instance
 - MarkingEdge - Class in org.tweetyproject.logics.petri.syntax.reachability_graph
 - 
A class to describe markings of a Petri net.
 - MarkingEdge(Marking, Marking, Transition) - Constructor for class org.tweetyproject.logics.petri.syntax.reachability_graph.MarkingEdge
 - 
Create a new instance
 - MarkovDecisionProcess<S extends State,
A extends Action> - Class in org.tweetyproject.machinelearning.rl.mdp  - 
This class models a Markov Decision Process (MDP, for fixed starting and terminal states), which can be used to represent reinforcement learning scenarios.
 - MarkovDecisionProcess(Collection<S>, S, Collection<S>, Collection<A>) - Constructor for class org.tweetyproject.machinelearning.rl.mdp.MarkovDecisionProcess
 - 
Creates a new Markov Decision Process with the given states and actions
 - MarkovLogicNetwork - Class in org.tweetyproject.logics.mln.syntax
 - 
Instances of this class represent Markov Logic Networks [Domingos et.
 - MarkovLogicNetwork() - Constructor for class org.tweetyproject.logics.mln.syntax.MarkovLogicNetwork
 - 
Creates a new (empty) MLN.
 - MarkovLogicNetwork(Collection<? extends MlnFormula>) - Constructor for class org.tweetyproject.logics.mln.syntax.MarkovLogicNetwork
 - 
Creates a new conditional MLN with the given collection of MLN formulas.
 - MarkovWalk - Class in org.tweetyproject.logics.petri.syntax.reachability_graph
 - 
A class to perform a stochastic walk on a reachability graph based on a probability function on that graph
 - MarkovWalk(ReachabilityGraph) - Constructor for class org.tweetyproject.logics.petri.syntax.reachability_graph.MarkovWalk
 - 
Create a new instance
 - MathTools - Class in org.tweetyproject.commons.util
 - 
This class contains some useful math tools.
 - MathTools() - Constructor for class org.tweetyproject.commons.util.MathTools
 - MatlabUtils - Class in org.tweetyproject.logics.pcl.util
 - MatlabUtils() - Constructor for class org.tweetyproject.logics.pcl.util.MatlabUtils
 - Matrix - Class in org.tweetyproject.math.matrix
 - 
This class models a matrix of terms.
 - Matrix(int, int) - Constructor for class org.tweetyproject.math.matrix.Matrix
 - 
Creates a new matrix of the given dimension.
 - MAX - Enum constant in enum org.tweetyproject.lp.asp.syntax.ASPOperator.AggregateFunction
 - MAX_FIX_ITERATIONS - Static variable in class org.tweetyproject.math.opt.rootFinder.NewtonRootFinder
 - 
The maximum number of fixing iterations.
 - MAX_ITERATIONS - Static variable in class org.tweetyproject.logics.pcl.analysis.AbstractCreepingMachineShop
 - 
The maximum number of steps in the line search.
 - MaxAggregator - Class in org.tweetyproject.math.func
 - 
This aggregation function models the maximum function.
 - MaxAggregator() - Constructor for class org.tweetyproject.math.func.MaxAggregator
 - MaxEntExample - Class in org.tweetyproject.logics.pcl.examples
 - 
Implementation of example Grippe (flu) from lecture Commonsense Reasoning in summer term 2020, chapter 4, slide 204
 - MaxEntExample() - Constructor for class org.tweetyproject.logics.pcl.examples.MaxEntExample
 - MaxFunction - Class in org.tweetyproject.math.func
 - 
The maximum function.
 - MaxFunction() - Constructor for class org.tweetyproject.math.func.MaxFunction
 - maximalConsistentSubsets(Collection<S>) - Method in class org.tweetyproject.logics.commons.analysis.AbstractMusEnumerator
 - maximalConsistentSubsets(Collection<S>) - Method in interface org.tweetyproject.logics.commons.analysis.MusEnumerator
 - 
This method returns the maximal consistent subsets of the given set of formulas
 - maximize - Variable in class org.tweetyproject.lp.asp.parser.ASTOpt
 - maximize - Variable in class org.tweetyproject.lp.asp.parser.ASTOptFunc
 - maximize(boolean) - Method in class org.tweetyproject.lp.asp.parser.ASTOpt
 - maximize(boolean) - Method in class org.tweetyproject.lp.asp.parser.ASTOptFunc
 - MAXIMIZE - Enum constant in enum org.tweetyproject.lp.asp.syntax.ASPOperator.OptimizeFunction
 - MAXIMIZE - Static variable in interface org.tweetyproject.lp.asp.parser.ASPCore2Constants
 - 
RegularExpression Id.
 - MAXIMIZE - Static variable in interface org.tweetyproject.lp.asp.parser.ASPParserConstants
 - 
RegularExpression Id.
 - MAXIMIZE - Static variable in class org.tweetyproject.math.opt.problem.CombinatoricsProblem
 - 
Static constant for the type "maximization"
 - MAXIMIZE - Static variable in class org.tweetyproject.math.opt.problem.OptimizationProblem
 - 
Static constant for the type "maximization"
 - Maximum - Class in org.tweetyproject.math.term
 - 
This class models the maximum of two terms.
 - Maximum(List<Term>) - Constructor for class org.tweetyproject.math.term.Maximum
 - 
Creates a new maximum with the given list of terms.
 - Maximum(Term, Term) - Constructor for class org.tweetyproject.math.term.Maximum
 - 
Creates a new maximum with the given terms.
 - MAXIMUM - Static variable in class org.tweetyproject.logics.pcl.reasoner.GeneralizedMeReasoner
 - MaximumCoNorm - Class in org.tweetyproject.math.func.fuzzy
 - 
Represents the maximum-conorm in fuzzy logic, i.e., S(x,y)=max(x,y)
 - MaximumCoNorm() - Constructor for class org.tweetyproject.math.func.fuzzy.MaximumCoNorm
 - MaximumEntropyMachineShop - Class in org.tweetyproject.logics.pcl.analysis
 - 
This consistency restorer uses the idea of the upper approximative distance minimization inconsistency measure to compute a ME-probability distribution and adjust the probabilities of the conditionals accordingly.
 - MaximumEntropyMachineShop(OptimizationRootFinder) - Constructor for class org.tweetyproject.logics.pcl.analysis.MaximumEntropyMachineShop
 - MaximumNorm - Class in org.tweetyproject.math.norm
 - 
The Maximum norm.
 - MaximumNorm() - Constructor for class org.tweetyproject.math.norm.MaximumNorm
 - MAXITERATIONS - Variable in class org.tweetyproject.math.opt.solver.ApacheCommonsSimplex
 - 
The maximum number of iterations of the simplex algorithm.
 - maxRecursionDepth - Variable in class org.tweetyproject.agents.dialogues.oppmodels.sim.BeliefStateConfiguration
 - 
The maximal depth of the recursive model.
 - maxRecursionWidth - Variable in class org.tweetyproject.agents.dialogues.oppmodels.sim.T2Configuration
 - 
The maximal number of sub-models in the probability distribution of a model
 - MaxSatExample - Class in org.tweetyproject.logics.pl.examples
 - 
Illustrates the use of MaxSAT solvers.
 - MaxSatExample() - Constructor for class org.tweetyproject.logics.pl.examples.MaxSatExample
 - MaxSatSolver - Class in org.tweetyproject.logics.pl.sat
 - 
Provides a generic class for implementing MaxSAT solvers, i.e.
 - MaxSatSolver() - Constructor for class org.tweetyproject.logics.pl.sat.MaxSatSolver
 - MC - Enum constant in enum org.tweetyproject.logics.pl.analysis.InconsistencyMeasureFactory.Measure
 - 
MC
 - MCSC - Enum constant in enum org.tweetyproject.logics.pl.analysis.InconsistencyMeasureFactory.Measure
 - 
MCSC
 - McscInconsistencyMeasure<S extends Formula> - Class in org.tweetyproject.logics.commons.analysis
 - 
This class implements the approach of [Meriem Ammoura, Badran Raddaoui, Yakoub Salhi, Brahim Oukacha.
 - McscInconsistencyMeasure(MusEnumerator<S>) - Constructor for class org.tweetyproject.logics.commons.analysis.McscInconsistencyMeasure
 - 
Creates a new inconsistency measure.
 - McscInconsistencyMeasureExample - Class in org.tweetyproject.logics.pl.examples
 - 
Example code illustrating the MCSC inconsistency measure.
 - McscInconsistencyMeasureExample() - Constructor for class org.tweetyproject.logics.pl.examples.McscInconsistencyMeasureExample
 - MdpExample - Class in org.tweetyproject.machinelearning.examples
 - 
Illustrates the use of Markov Decision Processes using a vacuum cleaner example.
 - MdpExample() - Constructor for class org.tweetyproject.machinelearning.examples.MdpExample
 - MeanDistanceCulpabilityMeasure - Class in org.tweetyproject.logics.pcl.analysis
 - 
This class implements the mean distance culpability measure, see [PhD thesis, Thimm].
 - MeanDistanceCulpabilityMeasure(OptimizationRootFinder, boolean) - Constructor for class org.tweetyproject.logics.pcl.analysis.MeanDistanceCulpabilityMeasure
 - 
Creates a new measure.
 - MEASURE_TOLERANCE - Static variable in interface org.tweetyproject.logics.commons.analysis.InconsistencyMeasure
 - 
Tolerance.
 - MeetingPEAFExample - Class in org.tweetyproject.arg.bipolar.examples
 - MeetingPEAFExample() - Constructor for class org.tweetyproject.arg.bipolar.examples.MeetingPEAFExample
 - merge() - Method in class org.tweetyproject.plugin.OutputField
 - merge(HashSet<DungTheory>) - Method in class org.tweetyproject.arg.dung.syntax.IncompleteTheory
 - 
merges DungTheories to one incomplete theory
 - mergeFields() - Method in class org.tweetyproject.plugin.PluginOutput
 - Message - Class in org.tweetyproject.logics.bpm.syntax
 - 
A class to represent message objects in a BPMN Model
 - Message - Enum constant in enum org.tweetyproject.logics.bpm.syntax.EventType
 - 
Message
 - Message() - Constructor for class org.tweetyproject.logics.bpm.syntax.Message
 - MessageFlow - Class in org.tweetyproject.logics.bpm.syntax
 - 
A class to represent edges of the message flow in a BPMN Model
 - MessageFlow(BpmnNode, BpmnNode) - Constructor for class org.tweetyproject.logics.bpm.syntax.MessageFlow
 - 
Create a new edge
 - MessageFlow(BpmnNode, BpmnNode, String) - Constructor for class org.tweetyproject.logics.bpm.syntax.MessageFlow
 - 
Create a new labeled edge
 - MessageFlowParser - Class in org.tweetyproject.logics.bpm.parser.xml_to_bpmn
 - 
Parse an edge of the message flow in a BPMN model
 - MessageFlowParser(RootParser) - Constructor for class org.tweetyproject.logics.bpm.parser.xml_to_bpmn.MessageFlowParser
 - 
Create a new instance
 - META_CONST - Static variable in interface org.tweetyproject.lp.asp.parser.ASPParserConstants
 - 
RegularExpression Id.
 - META_MAXINT - Static variable in interface org.tweetyproject.lp.asp.parser.ASPParserConstants
 - 
RegularExpression Id.
 - META_OTHER - Static variable in interface org.tweetyproject.lp.asp.parser.ASPParserConstants
 - 
RegularExpression Id.
 - MetaStatement() - Method in class org.tweetyproject.lp.asp.parser.ASPParser
 - MI - Enum constant in enum org.tweetyproject.logics.pl.analysis.InconsistencyMeasureFactory.Measure
 - 
MI
 - MIC - Enum constant in enum org.tweetyproject.logics.pl.analysis.InconsistencyMeasureFactory.Measure
 - 
MIC
 - MicInconsistencyMeasure<S extends Formula> - Class in org.tweetyproject.logics.commons.analysis
 - 
This class models the MI^C inconsistency measure.
 - MicInconsistencyMeasure(MusEnumerator<S>) - Constructor for class org.tweetyproject.logics.commons.analysis.MicInconsistencyMeasure
 - 
Creates a new drastic inconsistency measure.
 - midPoint(double[], double[]) - Static method in class org.tweetyproject.commons.util.VectorTools
 - 
Computes the midpoint of the two given vectors.
 - MiInconsistencyMeasure<S extends Formula> - Class in org.tweetyproject.logics.commons.analysis
 - 
This class models the MI inconsistency measure.
 - MiInconsistencyMeasure(MusEnumerator<S>) - Constructor for class org.tweetyproject.logics.commons.analysis.MiInconsistencyMeasure
 - 
Creates a new inconsistency measure.
 - MimusMusEnumerator - Class in org.tweetyproject.logics.pl.sat
 - 
Implements a MUs enumerator based on MIMUS (http://www.cs.qub.ac.uk/~kmcareavey01/mimus.html).
 - MimusMusEnumerator(String) - Constructor for class org.tweetyproject.logics.pl.sat.MimusMusEnumerator
 - 
Creates a new MUs enumerator.
 - min(Term) - Method in class org.tweetyproject.math.term.Term
 - 
Returns the minimum of this and the given term.
 - MIN - Enum constant in enum org.tweetyproject.lp.asp.syntax.ASPOperator.AggregateFunction
 - MIN_STEP_LENGTH - Static variable in class org.tweetyproject.logics.pcl.analysis.PenalizingCreepingMachineShop
 - 
The minimal step length for line search.
 - MinAggregator - Class in org.tweetyproject.math.func
 - 
This aggregation function models the minimum function.
 - MinAggregator() - Constructor for class org.tweetyproject.math.func.MinAggregator
 - mineFrequentSets(Collection<Collection<T>>) - Method in class org.tweetyproject.machinelearning.assoc.AprioriMiner
 - mineFrequentSets(Collection<Collection<T>>) - Method in class org.tweetyproject.machinelearning.assoc.FpGrowthMiner
 - mineFrequentSets(Collection<Collection<T>>) - Method in interface org.tweetyproject.machinelearning.assoc.FrequentPatternMiner
 - 
Extracts all frequent sets of items from the database
 - mineFrequentSets(Collection<Collection<T>>, int) - Method in class org.tweetyproject.machinelearning.assoc.AprioriMiner
 - mineFrequentSets(Collection<Collection<T>>, int) - Method in class org.tweetyproject.machinelearning.assoc.FpGrowthMiner
 - mineFrequentSets(Collection<Collection<T>>, int) - Method in interface org.tweetyproject.machinelearning.assoc.FrequentPatternMiner
 - 
Extracts all frequent sets of items from the database.
 - mineRules(Collection<Collection<T>>) - Method in class org.tweetyproject.machinelearning.assoc.AbstractAssociationRuleMiner
 - mineRules(Collection<Collection<T>>) - Method in interface org.tweetyproject.machinelearning.assoc.AssociationRuleMiner
 - 
Mines a set of association rules from the given database.
 - mineRules(Collection<Collection<T>>, int) - Method in class org.tweetyproject.machinelearning.assoc.AbstractAssociationRuleMiner
 - mineRules(Collection<Collection<T>>, int) - Method in interface org.tweetyproject.machinelearning.assoc.AssociationRuleMiner
 - 
Mines a set of association rules from the given database.
 - mineRules(Collection<Collection<T>>, int, int) - Method in class org.tweetyproject.machinelearning.assoc.AprioriMiner
 - mineRules(Collection<Collection<T>>, int, int) - Method in interface org.tweetyproject.machinelearning.assoc.AssociationRuleMiner
 - 
Mines a set of association rules from the given database.
 - minimalCorrectionSubsets(Collection<S>) - Method in class org.tweetyproject.logics.commons.analysis.AbstractMusEnumerator
 - minimalCorrectionSubsets(Collection<S>) - Method in interface org.tweetyproject.logics.commons.analysis.MusEnumerator
 - 
This method returns the minimal correction subsets of the given set of formulas (i.e.
 - MinimalInconsistentSubsetExample - Class in org.tweetyproject.logics.pl.examples
 - 
Example code illustrating the use of MUS enumerators.
 - MinimalInconsistentSubsetExample() - Constructor for class org.tweetyproject.logics.pl.examples.MinimalInconsistentSubsetExample
 - minimalInconsistentSubsets(Collection<PlFormula>) - Method in class org.tweetyproject.logics.pl.sat.MarcoMusEnumerator
 - minimalInconsistentSubsets(Collection<PlFormula>) - Method in class org.tweetyproject.logics.pl.sat.MimusMusEnumerator
 - minimalInconsistentSubsets(Collection<PlFormula>) - Method in class org.tweetyproject.logics.pl.sat.PlMusEnumerator
 - minimalInconsistentSubsets(Collection<S>) - Method in class org.tweetyproject.logics.commons.analysis.AbstractMusEnumerator
 - minimalInconsistentSubsets(Collection<S>) - Method in interface org.tweetyproject.logics.commons.analysis.MusEnumerator
 - 
This method returns the minimal inconsistent subsets of the given set of formulas.
 - minimalInconsistentSubsets(Collection<S>) - Method in class org.tweetyproject.logics.commons.analysis.NaiveMusEnumerator
 - MinimalModelProvider<A extends Formula,
B extends BeliefBase, C extends Formula> - Interface in org.tweetyproject.logics.pl.analysis  - MinimalViolation2InconsistencyMeasure - Class in org.tweetyproject.logics.pcl.analysis
 - 
This class models the minimal violation inconsistency measure for the 2-norm.
 - MinimalViolation2InconsistencyMeasure() - Constructor for class org.tweetyproject.logics.pcl.analysis.MinimalViolation2InconsistencyMeasure
 - MinimalViolationEuclideanMachineShop - Class in org.tweetyproject.logics.pcl.analysis
 - 
Repairs a probabilistic belief base by taking the probabilities from the probability function that minimizes the "minimal violation inconsistency measure" with respect to the euclidean norm.
 - MinimalViolationEuclideanMachineShop() - Constructor for class org.tweetyproject.logics.pcl.analysis.MinimalViolationEuclideanMachineShop
 - MinimalViolationEuclideanMachineShopOjAlgoExpression - Class in org.tweetyproject.logics.pcl.analysis
 - 
Repairs a probabilistic belief base by taking the probabilities from the probability function that minimizes the "minimal violation inconsistency measure" with respect to the euclidean norm.
 - MinimalViolationEuclideanMachineShopOjAlgoExpression() - Constructor for class org.tweetyproject.logics.pcl.analysis.MinimalViolationEuclideanMachineShopOjAlgoExpression
 - MinimalViolationEuclideanMachineShopOjAlgoMatrix - Class in org.tweetyproject.logics.pcl.analysis
 - 
Repairs a probabilistic belief base by taking the probabilities from the probability function that minimizes the "minimal violation inconsistency measure" with respect to the euclidean norm.
 - MinimalViolationEuclideanMachineShopOjAlgoMatrix() - Constructor for class org.tweetyproject.logics.pcl.analysis.MinimalViolationEuclideanMachineShopOjAlgoMatrix
 - MinimalViolationInconsistencyMeasure - Class in org.tweetyproject.logics.pcl.analysis
 - 
This class provides a general implementation for the minimal violation inconsistency measure, cf.
 - MinimalViolationInconsistencyMeasure(RealVectorNorm, Solver) - Constructor for class org.tweetyproject.logics.pcl.analysis.MinimalViolationInconsistencyMeasure
 - 
Creates a new measure the given norm
 - MinimalViolationInconsistencyMeasureLPSolveTest - Class in org.tweetyproject.logics.pcl.test
 - MinimalViolationInconsistencyMeasureLPSolveTest() - Constructor for class org.tweetyproject.logics.pcl.test.MinimalViolationInconsistencyMeasureLPSolveTest
 - MINIMIZE - Enum constant in enum org.tweetyproject.lp.asp.syntax.ASPOperator.OptimizeFunction
 - MINIMIZE - Static variable in interface org.tweetyproject.lp.asp.parser.ASPCore2Constants
 - 
RegularExpression Id.
 - MINIMIZE - Static variable in interface org.tweetyproject.lp.asp.parser.ASPParserConstants
 - 
RegularExpression Id.
 - MINIMIZE - Static variable in class org.tweetyproject.math.opt.problem.CombinatoricsProblem
 - 
Static constant for the type "minimization"
 - MINIMIZE - Static variable in class org.tweetyproject.math.opt.problem.OptimizationProblem
 - 
Static constant for the type "minimization"
 - Minimum - Class in org.tweetyproject.math.term
 - 
This class models the minimum of two terms.
 - Minimum(List<Term>) - Constructor for class org.tweetyproject.math.term.Minimum
 - 
Creates a new minimum with the given list of terms.
 - Minimum(Term, Term) - Constructor for class org.tweetyproject.math.term.Minimum
 - 
Creates a new minimum with the given terms.
 - MinimumAggregatedDistanceMachineShop - Class in org.tweetyproject.logics.pcl.analysis
 - 
This approach to consistency restoration follows the approach proposed in [Thimm, DKB, 2011].
 - MinimumAggregatedDistanceMachineShop(OptimizationRootFinder) - Constructor for class org.tweetyproject.logics.pcl.analysis.MinimumAggregatedDistanceMachineShop
 - MinimumNorm - Class in org.tweetyproject.math.func.fuzzy
 - 
Represents the minimum-norm in fuzzy logic, i.e., T(x,y)=min(x,y)
 - MinimumNorm() - Constructor for class org.tweetyproject.math.func.fuzzy.MinimumNorm
 - MinimumViolationMachineShop - Class in org.tweetyproject.logics.pcl.analysis
 - 
Repairs a probabilistic belief base by taking the probabilities from the probability function that minimizes the "minimum violation inconsistency measure".
 - MinimumViolationMachineShop(RealVectorNorm) - Constructor for class org.tweetyproject.logics.pcl.analysis.MinimumViolationMachineShop
 - 
Creates a new machine shop for the norm
 - MinisatSatSolver - Class in org.tweetyproject.sat.minisat
 - MinisatSatSolver() - Constructor for class org.tweetyproject.sat.minisat.MinisatSatSolver
 - MinisatTest - Class in org.tweetyproject.sat.test
 - MinisatTest() - Constructor for class org.tweetyproject.sat.test.MinisatTest
 - minModelProvider - Variable in class org.tweetyproject.logics.pl.analysis.SimplePrimeImplicantEnumerator
 - 
minimal model provider
 - MINORMALIZATION - Static variable in class org.tweetyproject.logics.pl.postulates.ImPostulate
 - 
The MINORMALIZATION postulate
 - minus(Matrix) - Method in class org.tweetyproject.math.matrix.Matrix
 - 
Makes a subtraction of the given matrix from this one and returns the result.
 - minus(Term) - Method in class org.tweetyproject.math.term.Term
 - 
Returns the sum of this and (-1) * the given term.
 - MINUS - Enum constant in enum org.tweetyproject.lp.asp.syntax.ASPOperator.ArithmeticOperator
 - MINUS - Static variable in interface org.tweetyproject.lp.asp.parser.ASPCore2Constants
 - 
RegularExpression Id.
 - MINUS - Static variable in interface org.tweetyproject.lp.asp.parser.ASPParserConstants
 - 
RegularExpression Id.
 - MinusSetView<E> - Class in org.tweetyproject.arg.adf.util
 - MinusSetView(Set<E>, Set<E>) - Constructor for class org.tweetyproject.arg.adf.util.MinusSetView
 - 
Constructs a view of the result of superset - subset.
 - MiSampler - Class in org.tweetyproject.logics.pl.util
 - 
Generates random propositional belief base with a given inconsistency measure (for the MI inconsistency measure) and of a given size.
 - MiSampler(PlSignature, int) - Constructor for class org.tweetyproject.logics.pl.util.MiSampler
 - 
Creates a new sample for the given signature which generates propositional belief sets with the given inconsistency value (wrt.
 - MiSampler(PlSignature, int, int, int) - Constructor for class org.tweetyproject.logics.pl.util.MiSampler
 - 
Creates a new sample for the given signature which generates propositional belief sets with the given inconsistency value (wrt.
 - MISEPARABILITY - Static variable in class org.tweetyproject.logics.pl.postulates.ImPostulate
 - 
The MISEPARABILITY postulate
 - MissingCharacterTest() - Method in class org.tweetyproject.logics.ml.MlParserTest
 - missingEndQuote() - Method in class org.tweetyproject.arg.delp.TestKBParsing
 - MlBeliefSet - Class in org.tweetyproject.logics.ml.syntax
 - 
This class models a modal knowledge base, i.e.
 - MlBeliefSet() - Constructor for class org.tweetyproject.logics.ml.syntax.MlBeliefSet
 - 
Creates a new empty modal knowledge base.
 - MlBeliefSet(Set<RelationalFormula>) - Constructor for class org.tweetyproject.logics.ml.syntax.MlBeliefSet
 - 
Creates a new modal knowledge base with the given set of formulas.
 - MleanCoPReasoner - Class in org.tweetyproject.logics.ml.reasoner
 - 
Invokes MleanCoP (http://www.leancop.de/mleancop/), a compact automated theorem prover for modal first-order logic based on the clausal connection calculus.
 - MleanCoPReasoner(String) - Constructor for class org.tweetyproject.logics.ml.reasoner.MleanCoPReasoner
 - 
Constructs a new instance pointing to a specific MleanCoProver.
 - MleanCoPReasoner(String, Shell) - Constructor for class org.tweetyproject.logics.ml.reasoner.MleanCoPReasoner
 - 
Constructs a new instance pointing to a specific MleanCoProver.
 - MleanCoPTest - Class in org.tweetyproject.logics.ml
 - 
JUnit Test class for the MleanCoP reasoner.
 - MleanCoPTest() - Constructor for class org.tweetyproject.logics.ml.MleanCoPTest
 - MleanCoPWriter - Class in org.tweetyproject.logics.ml.writer
 - 
Prints single FOL and modal formulas to the MleanCoP format:
Negation: '~'
Conjunction: ','
Disjunction: ';'
Implication: '=>'
Equivalence: '<=>'
Universal quantifier: 'all X:'
Existential quantifier: 'ex X:'
Modal box operator (Necessity): '#'
Modal diamond operator (Possibility): '*' - MleanCoPWriter() - Constructor for class org.tweetyproject.logics.ml.writer.MleanCoPWriter
 - 
Creates a new MleanCoPWriter.
 - MleanCoPWriter(Writer) - Constructor for class org.tweetyproject.logics.ml.writer.MleanCoPWriter
 - 
Creates a new MleanCoPWriter.
 - MlExample - Class in org.tweetyproject.logics.ml.examples
 - 
Some examples for testing ModalParser and NaiveModalReasoner.
 - MlExample() - Constructor for class org.tweetyproject.logics.ml.examples.MlExample
 - MlExample2 - Class in org.tweetyproject.logics.ml.examples
 - 
More examples for testing ModalParser and ModalReasoner.
 - MlExample2() - Constructor for class org.tweetyproject.logics.ml.examples.MlExample2
 - MlFormula - Class in org.tweetyproject.logics.ml.syntax
 - 
This class models a modal formula, i.e.
 - MlFormula(RelationalFormula) - Constructor for class org.tweetyproject.logics.ml.syntax.MlFormula
 - 
Creates a new modal formula with the given inner formula.
 - MlHerbrandBase - Class in org.tweetyproject.logics.ml.semantics
 - 
Modified version of HerbrandBase that allows for modal formulas.
 - MlHerbrandBase(FolSignature) - Constructor for class org.tweetyproject.logics.ml.semantics.MlHerbrandBase
 - 
Creates a new Herbrand base for the given signature.
 - MlHerbrandInterpretation - Class in org.tweetyproject.logics.ml.semantics
 - 
Modified version of HerbrandInterpretation that allows for modal formulas.
 - MlHerbrandInterpretation() - Constructor for class org.tweetyproject.logics.ml.semantics.MlHerbrandInterpretation
 - 
Creates a new empty Herbrand interpretation
 - MlHerbrandInterpretation(Collection<? extends FolAtom>) - Constructor for class org.tweetyproject.logics.ml.semantics.MlHerbrandInterpretation
 - 
Creates a new Herbrand interpretation with the given set of atoms
 - MlnExample - Class in org.tweetyproject.logics.mln.examples
 - 
Shows how MLNs can be constructed programmatically and shows how coherence measures can be used.
 - MlnExample() - Constructor for class org.tweetyproject.logics.mln.examples.MlnExample
 - MlnExample2 - Class in org.tweetyproject.logics.mln.examples
 - 
Gives further examples on how MLNs can be constructed programmatically and how coherence measures can be used.
 - MlnExample2() - Constructor for class org.tweetyproject.logics.mln.examples.MlnExample2
 - MlnFormula - Class in org.tweetyproject.logics.mln.syntax
 - 
Instances of this class represent first-order formulas with a weight.
 - MlnFormula(FolFormula) - Constructor for class org.tweetyproject.logics.mln.syntax.MlnFormula
 - 
Creates a new strict MLN formula with the given formula.
 - MlnFormula(FolFormula, Double) - Constructor for class org.tweetyproject.logics.mln.syntax.MlnFormula
 - 
Creates a new MLN formula with the given formula and weight.
 - MlnFormula(FolFormula, Probability) - Constructor for class org.tweetyproject.logics.mln.syntax.MlnFormula
 - 
Creates a new MLN formula and estimates its weight w by the given probability p using the formula w = log(p/(1-p)*f) where "f" is the ratio of the number of worlds not satisfying the formula and the worlds satisfying the formula.
 - MlParser - Class in org.tweetyproject.logics.ml.parser
 - 
This class implements a parser for modal logic.
 - MlParser() - Constructor for class org.tweetyproject.logics.ml.parser.MlParser
 - MlParserTest - Class in org.tweetyproject.logics.ml
 - 
JUnit Test class for ModalParser.
 - MlParserTest() - Constructor for class org.tweetyproject.logics.ml.MlParserTest
 - MlReasonerTest - Class in org.tweetyproject.logics.ml
 - 
JUnit Test class for NaiveModalReasoner.
 - MlReasonerTest() - Constructor for class org.tweetyproject.logics.ml.MlReasonerTest
 - MlWriter - Class in org.tweetyproject.logics.ml.writer
 - MlWriter(RelationalFormula) - Constructor for class org.tweetyproject.logics.ml.writer.MlWriter
 - MlWriter(MlBeliefSet) - Constructor for class org.tweetyproject.logics.ml.writer.MlWriter
 - model() - Method in interface org.tweetyproject.arg.adf.reasoner.query.SemanticsStep
 - model(AbstractDialecticalFramework) - Static method in interface org.tweetyproject.arg.adf.reasoner.sat.execution.Semantics
 - ModelComputation - Class in org.tweetyproject.arg.dung.learning.util
 - 
Helper class providing methods for more efficient computation of models for specific formulae
 - ModelComputation() - Constructor for class org.tweetyproject.arg.dung.learning.util.ModelComputation
 - ModelGenerator - Class in org.tweetyproject.arg.adf.reasoner.sat.generator
 - modelIterator(AbstractDialecticalFramework) - Method in class org.tweetyproject.arg.adf.reasoner.AbstractDialecticalFrameworkReasoner
 - 
Deprecated.
 - modelProvider - Variable in class org.tweetyproject.logics.pl.analysis.SimpleMinimalModelProvider
 - 
model provider
 - ModelProvider<S extends Formula,
B extends BeliefBase, T extends Interpretation<B, S>> - Interface in org.tweetyproject.commons  - 
Instances of this interface model reasoners that determine the (selected) models for a given set of formulas.
 - ModelReasoner - Class in org.tweetyproject.arg.adf.reasoner
 - 
Deprecated, for removal: This API element is subject to removal in a future version.
 - ModelReasoner(IncrementalSatSolver) - Constructor for class org.tweetyproject.arg.adf.reasoner.ModelReasoner
 - 
Deprecated.
 - MODULAR_CLASSICAL_CONSEQUENCE - Enum constant in enum org.tweetyproject.logics.pl.analysis.IcebergInconsistencyMeasure.ConsequenceOperation
 - 
modular classical consequence
 - MODULARIZATION - Static variable in class org.tweetyproject.arg.dung.principles.Principle
 - 
The modularization principle
 - ModularizationPrinciple - Class in org.tweetyproject.arg.dung.principles
 - 
Modularization Principle A semantics s satisfies modularization iff for every AF F we have: if E1 is a s-extension of F and E2 is a s-extension of the E1-reduct of F, then (E1 u E2) is a s-extension of F see: Baumann et.
 - ModularizationPrinciple() - Constructor for class org.tweetyproject.arg.dung.principles.ModularizationPrinciple
 - ModuleBasedAspicReasoner<T extends Invertable> - Class in org.tweetyproject.arg.aspic.reasoner
 - 
Slightly optimised reasoner for ASPIC.
 - ModuleBasedAspicReasoner(AbstractExtensionReasoner) - Constructor for class org.tweetyproject.arg.aspic.reasoner.ModuleBasedAspicReasoner
 - 
Creates a new instance
 - MODULO - Enum constant in enum org.tweetyproject.lp.asp.syntax.ASPOperator.ArithmeticOperator
 - MODULO - Static variable in interface org.tweetyproject.lp.asp.parser.ASPParserConstants
 - 
RegularExpression Id.
 - MODUS_PONENS - Enum constant in enum org.tweetyproject.logics.pl.analysis.IcebergInconsistencyMeasure.ConsequenceOperation
 - 
modus ponens
 - MonotoneGlobalMaxichoiceSelectionFunction - Class in org.tweetyproject.lp.asp.beliefdynamics.baserevision
 - 
This class implements a monotone global maxichoise selection function for remainder sets of extended logic programs as introduced in [KKI12].
 - MonotoneGlobalMaxichoiceSelectionFunction() - Constructor for class org.tweetyproject.lp.asp.beliefdynamics.baserevision.MonotoneGlobalMaxichoiceSelectionFunction
 - MONOTONY - Static variable in class org.tweetyproject.logics.pl.postulates.ImPostulate
 - 
The MONOTONY postulate
 - MonteCarloPafReasoner - Class in org.tweetyproject.arg.prob.reasoner
 - 
This class implements the Monte Carlo algorithm for estimating probabilities of extensions in probabilistic argumentation frameworks from [Li, Oren, Norman.
 - MonteCarloPafReasoner(Semantics, int) - Constructor for class org.tweetyproject.arg.prob.reasoner.MonteCarloPafReasoner
 - 
Creates a new reasoner.
 - moreQuoted() - Method in class org.tweetyproject.arg.delp.TestQueries
 - MostBipolarParentsDecomposer - Class in org.tweetyproject.arg.adf.reasoner.sat.decomposer
 - 
Takes the arguments with the most bipolar parents.
 - MostBipolarParentsDecomposer(AbstractDialecticalFramework) - Constructor for class org.tweetyproject.arg.adf.reasoner.sat.decomposer.MostBipolarParentsDecomposer
 - MostComplexAcceptanceConditionDecomposer - Class in org.tweetyproject.arg.adf.reasoner.sat.decomposer
 - 
Returns the arguments with the most complex acceptance condition, according to their logical complexity.
 - MostComplexAcceptanceConditionDecomposer(AbstractDialecticalFramework) - Constructor for class org.tweetyproject.arg.adf.reasoner.sat.decomposer.MostComplexAcceptanceConditionDecomposer
 - move(ArgumentationEnvironment) - Method in class org.tweetyproject.agents.dialogues.oppmodels.BeliefState
 - 
Gives the next best move according to the belief state and the given trace.
 - moveBeliefbase(Collection<?>, int) - Method in class org.tweetyproject.beliefdynamics.gui.RevisionCompareModel
 - 
Moves the given belief base in the given direction.
 - mpm - Static variable in class org.tweetyproject.lp.asp.analysis.AspInconsistencyMeasureTest
 - 
inconsistency measurer
 - msd - Static variable in class org.tweetyproject.lp.asp.analysis.AspInconsistencyMeasureTest
 - 
inconsistency measurer
 - mult(double) - Method in class org.tweetyproject.math.matrix.Matrix
 - 
Multiply this matrix with the given scalar (every entry is multiplied)
 - mult(Double) - Method in class org.tweetyproject.math.probability.Probability
 - 
Computes the product of this probability and the given number.
 - mult(Integer) - Method in class org.tweetyproject.math.probability.Probability
 - 
Computes the product of this probability and the given number.
 - mult(Matrix) - Method in class org.tweetyproject.math.matrix.Matrix
 - 
Multiply this matrix with the given one.
 - mult(Probability) - Method in class org.tweetyproject.math.probability.Probability
 - 
Computes the product of this probability and the given probability.
 - mult(Term) - Method in class org.tweetyproject.math.matrix.Matrix
 - 
Multiply this matrix with the given scalar (every entry is multiplied)
 - mult(Term) - Method in class org.tweetyproject.math.term.Term
 - 
Returns the product of this and the given term.
 - MULTI_LINE_COMMENT - Static variable in interface org.tweetyproject.lp.asp.parser.ASPCore2Constants
 - 
RegularExpression Id.
 - MULTI_LINE_COMMENT - Static variable in interface org.tweetyproject.lp.asp.parser.ASPParserConstants
 - 
RegularExpression Id.
 - MultiAgentSystem<T extends Agent> - Class in org.tweetyproject.agents
 - 
A multi-agent system is a collection of agents with some environment.
 - MultiAgentSystem(Environment) - Constructor for class org.tweetyproject.agents.MultiAgentSystem
 - 
Creates a new empty multi-agent system with the given environment.
 - MultiAgentSystem(Environment, Collection<? extends T>) - Constructor for class org.tweetyproject.agents.MultiAgentSystem
 - 
Creates a new multi-agent system with the given collection of agents.
 - MultiAgentSystemGenerator<T extends Agent,
S extends MultiAgentSystem<T>> - Interface in org.tweetyproject.agents.sim  - MultiClassRbfTrainer - Class in org.tweetyproject.machinelearning.svm
 - 
Trains a standard multi-class RBF support vector machine.
 - MultiClassRbfTrainer() - Constructor for class org.tweetyproject.machinelearning.svm.MultiClassRbfTrainer
 - 
Initializes the trainer with the default parameters.
 - MultiClassRbfTrainer(double, double) - Constructor for class org.tweetyproject.machinelearning.svm.MultiClassRbfTrainer
 - 
Initializes the trainer with the given parameters.
 - multiFile() - Method in class org.tweetyproject.arg.delp.TestDeLP
 - Multiple - Enum constant in enum org.tweetyproject.logics.bpm.syntax.EventType
 - 
Multiple
 - MultipleBaseContractionOperator<T extends Formula> - Class in org.tweetyproject.beliefdynamics
 - 
This is the interface for a classic multiple belief base contraction operator, ie.
 - MultipleBaseContractionOperator() - Constructor for class org.tweetyproject.beliefdynamics.MultipleBaseContractionOperator
 - MultipleBaseExpansionOperator<T extends Formula> - Class in org.tweetyproject.beliefdynamics
 - 
This is the interface for a classic multiple belief base expansion operator, ie.
 - MultipleBaseExpansionOperator() - Constructor for class org.tweetyproject.beliefdynamics.MultipleBaseExpansionOperator
 - MultipleBaseRevisionOperator<T extends Formula> - Class in org.tweetyproject.beliefdynamics
 - 
This is the interface for a classic multiple belief base revision operator, ie.
 - MultipleBaseRevisionOperator() - Constructor for class org.tweetyproject.beliefdynamics.MultipleBaseRevisionOperator
 - MultipleIndicatorUtilityFunction - Class in org.tweetyproject.agents.dialogues.structured
 - 
This class represents a multiple indicator utility function, i.e.
 - MultipleIndicatorUtilityFunction(Collection<? extends Proposition>) - Constructor for class org.tweetyproject.agents.dialogues.structured.MultipleIndicatorUtilityFunction
 - 
Creates a new multiple indicator utility function for the given focal set.
 - MultipleSelectiveRevisionOperator<T extends Formula> - Class in org.tweetyproject.beliefdynamics.selectiverevision
 - 
This class implements a multiple selective revision operator following [Kruempelmann:2011,Ferme:1999].
 - MultipleSelectiveRevisionOperator(MultipleTransformationFunction<T>, MultipleBaseRevisionOperator<T>) - Constructor for class org.tweetyproject.beliefdynamics.selectiverevision.MultipleSelectiveRevisionOperator
 - 
Creates a new multiple selective revision operator for the given transformation function and inner revision.
 - MultipleTransformationFunction<T extends Formula> - Interface in org.tweetyproject.beliefdynamics.selectiverevision
 - 
This interface represents a multiple transformation function for selective revision [Kruempelmann:2011,Ferme:1999].
 - MULTIPLICATOR - Static variable in interface org.tweetyproject.logics.rpcl.parser.rpclcondensedprobabilitydistributionparser.RpclCondensedProbabilityDistributionParserConstants
 - musEnumerator - Static variable in class org.tweetyproject.web.services.InconsistencyMeasurementService
 - 
The MUS enumerator configured for this service.
 - MusEnumerator<S extends Formula> - Interface in org.tweetyproject.logics.commons.analysis
 - 
Interface for classes enumerating MUSes (minimal unsatisfiable sets) and MCSs (maximal consistent sets).
 - MusExample - Class in org.tweetyproject.logics.pl.examples
 - 
Example code illustrating the use of MUS enumerators.
 - MusExample() - Constructor for class org.tweetyproject.logics.pl.examples.MusExample
 - MusVarInconsistencyMeasure - Class in org.tweetyproject.logics.pl.analysis
 - 
This class implements the "MUS-variable based inconsistency measure" proposed in [Xiao,Ma.
 - MusVarInconsistencyMeasure() - Constructor for class org.tweetyproject.logics.pl.analysis.MusVarInconsistencyMeasure
 - MV - Enum constant in enum org.tweetyproject.logics.pl.analysis.InconsistencyMeasureFactory.Measure
 - 
MV
 
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