Uses of Interface
org.tweetyproject.arg.dung.reasoner.KOptimisationReasoner
Packages that use KOptimisationReasoner
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Uses of KOptimisationReasoner in org.tweetyproject.arg.dung.reasoner
Classes in org.tweetyproject.arg.dung.reasoner that implement KOptimisationReasonerModifier and TypeClassDescriptionclassStarting from the empty set, this algorithms greedily determines an approximation to a k-stable extension by iteratively adding arguments (without introducing conflicts) that add the maximal number of arguments to the range.classStarting from the empty set, this algorithms greedily determines an approximation to a k-stable* extension by iteratively adding arguments that add the maximal number of arguments to the range, until full range is achieved.classStarting from the empty set, this algorithms greedily determines an approximation to a k-admissible# extension by iteratively adding arguments that add the maximal number of defended attacks.classStarting from the empty set, this algorithms greedily determines an approximation to a k-admissible* extension by iteratively adding arguments that violate the least number of attacks.classStarting from the set of all arguments, this algorithms greedily determines an approximation to a k-admissible# extension by iteratively removing arguments that add the maximal number of satisfied attacks.classStarting from the set of all arguments, this algorithms greedily determines an approximation to a k-admissible* extension by iteratively removing arguments that add the maximal number of satisfied attacks.classA MaxSAT-based implementation for solving the MaxAdm* problem from [Skiba,Thimm; 2024]classA MaxSAT-based implementation for solving the MaxAdm# problem from [Skiba,Thimm; 2024]classA MaxSAT-based implementation for solving the MaxStable* problem from [Thimm.classA MaxSAT-based implementation for solving the MaxStable problem from [Thimm.classStarting from the complete set of arguments, this algorithms greedily determines an approximation to a k-stable extension by iteratively removing arguments (that resolve a maximal number of conflicts) until the set is conflict-free.classStarting from the complete set of arguments, this algorithms greedily determines an approximation to a k-stable* extension by iteratively removing arguments (without losing full range) that remove the maximal number of conflicts.