Package org.tweetyproject.arg.dung.learning
package org.tweetyproject.arg.dung.learning
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ClassDescriptionInterface for the learning algorithmThis class can be used to find example dung theories that produce the same set of extensions wrt to one semantics, but different extensions wrt to another semanticsThis class can be used to find example dung theories that produce the same set of extensions wrt to two semantics, but different extensions wrt to another semanticsImplementation of the algorithm for learning (grounded) labelings from with some improvements: Riveret, Régis, and Guido Governatori.Implementation of the MaxSAT algorithm from: Niskanen, Andreas, Johannes Wallner, and Matti Järvisalo.Implementation of the iterative algorithm for learning argumentation frameworks from labelings utilizing the parallelization possibilitiesImplementation of the algorithm for learning (grounded) labelings from: Riveret, Régis, and Guido Governatori.Naive implementation of the iterative algorithm for learning argumentation frameworks from labelingsImproved version of the MaxSAT algorithm from: Niskanen, Andreas, Johannes Wallner, and Matti Järvisalo.