Package org.tweetyproject.arg.dung.learning

Class RiveretTheoryLearner

java.lang.Object

org.tweetyproject.arg.dung.learning.RiveretTheoryLearner

public class RiveretTheoryLearner
extends Object

Implementation of the algorithm for learning (grounded) labelings from: Riveret, Régis, and Guido Governatori. "On learning attacks in probabilistic abstract argumentation." 2016.

Author:

Lars Bengel

Constructor Summary

Constructors

Constructor	Description
RiveretTheoryLearner(Collection<Argument> arguments, int max_cycles)	initialize learner for the given set of arguments

Method Summary

Modifier and Type	Method	Description
DungTheory	learnLabelings(ArrayList<Labeling> labelings)	learn theory without pruning discarded attacks
DungTheory	learnLabelings(ArrayList<Labeling> labelings, boolean prune, int threshold)	learn random labelings from the given List until no undecided attacks are left in the theory

Methods inherited from class java.lang.Object

equals, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Constructor Details

RiveretTheoryLearner

public RiveretTheoryLearner(Collection<Argument> arguments,
 int max_cycles)

initialize learner for the given set of arguments

Parameters:

arguments - a set of arguments

max_cycles - the maximal number of cycles

Method Details

learnLabelings

public DungTheory learnLabelings(ArrayList<Labeling> labelings,
 boolean prune,
 int threshold)

learn random labelings from the given List until no undecided attacks are left in the theory

Parameters:

labelings - a list of labelings

prune - if true, remove discarded attacks after each step

threshold - some threshold

Returns:

the learned dung theory

learnLabelings

public DungTheory learnLabelings(ArrayList<Labeling> labelings)

learn theory without pruning discarded attacks

Parameters:

labelings - a list of labelings

Returns:

the learned dung theory