Package org.tweetyproject.arg.dung.learning

Class OptimizedParallelAFLearner

java.lang.Object
org.tweetyproject.arg.dung.learning.OptimizedParallelAFLearner
All Implemented Interfaces:
AFLearner
public class OptimizedParallelAFLearner extends Object implements AFLearner
Implementation of the iterative algorithm for learning argumentation frameworks from labelings utilizing the parallelization possibilities
Author:
Lars Bengel

  • Constructor Details

    • OptimizedParallelAFLearner

      public OptimizedParallelAFLearner(Collection<Argument> args)
      initialize the Learner with a set of arguments
      Parameters:
      args - a set of arguments

  • Method Details

    • learnLabeling

      public boolean learnLabeling(Input labeling)
      learn a single labeling i.e. compute the acceptance condition for each argument a wrt to the given labeling and combine it with the previous acceptance condition of a
      Specified by:
      learnLabeling in interface AFLearner
      Parameters:
      labeling - some labeling of the set of arguments
      Returns:
      true if the labeling was learned successfully

    • getModels

      public Collection<DungTheory> getModels()
      Description copied from interface: AFLearner
      compute all argumentation frameworks that satisfy the internal acceptance conditions
      Specified by:
      getModels in interface AFLearner
      Returns:
      the set of computed argumentation frameworks

    • learnLabelings

      public boolean learnLabelings(Collection<Input> inputs)
      Parameters:
      inputs - inputs
      Returns:
      the learned labels

    • getModel

      public DungTheory getModel()
      compute a single model that satisfies all attack constraints computation for each argument constraint is independent and thus can be done in parallel
      Specified by:
      getModel in interface AFLearner
      Returns:
      a dung theory for which all attack constraints are satisfied

    • printStatus

      public void printStatus()
      prints status
      Specified by:
      printStatus in interface AFLearner

    • printStatus

      public void printStatus(boolean dnf)
      print the current status of the acceptance conditions
      Parameters:
      dnf - whether dnf holds

    • getNumberOfFrameworks

      public long getNumberOfFrameworks()
      Description copied from interface: AFLearner
      compute the number of argumentation frameworks that satisfy the internal acceptance conditions
      Specified by:
      getNumberOfFrameworks in interface AFLearner
      Returns:
      number of afs that produce all processed input labelings

    • getNumberOfFrameworks

      public long getNumberOfFrameworks(boolean shortcut)
      Specified by:
      getNumberOfFrameworks in interface AFLearner
      Parameters:
      shortcut - whether shortcut is applied
      Returns:
      number of frameworks