Uses of Interface
org.tweetyproject.arg.dung.reasoner.KOptimisationReasoner

Packages that use KOptimisationReasoner
Package
Description
 
  • Uses of KOptimisationReasoner in org.tweetyproject.arg.dung.reasoner

    Modifier and Type
    Class
    Description
    class 
    Starting 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.
    class 
    Starting 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.
    class 
    Starting 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.
    class 
    Starting 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.
    class 
    Starting 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.
    class 
    Starting 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.
    class 
    A MaxSAT-based implementation for solving the MaxAdm* problem from [Skiba,Thimm; 2024]
    class 
    A MaxSAT-based implementation for solving the MaxAdm# problem from [Skiba,Thimm; 2024]
    class 
    A MaxSAT-based implementation for solving the MaxStable* problem from [Thimm.
    class 
    A MaxSAT-based implementation for solving the MaxStable problem from [Thimm.
    class 
    Starting 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.
    class 
    Starting 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.