Uses of Interface
org.tweetyproject.commons.BeliefSetIterator
Package
Description
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Uses of BeliefSetIterator in org.tweetyproject.arg.dung.util
Modifier and TypeInterfaceDescriptioninterface
Class implementing this interface provide the capability to generate Dung theories.Modifier and TypeClassDescriptionclass
Implements a customizable Dung theory generator.class
This generator generators all possible Dung argumentation theories.class
This generator receives a list of files containing Dung theories and returns those step by step.class
This generator generators all possible Dung argumentation theories (modulo graph isomorphism).class
Creates AAFs with a complex structure for tasks related to skeptical reasoning wrt.class
This generator generates abstract argumentation frameworks following the schema described in "Strong Admissibility Revisited" (COMMA2014) by Martin Caminda, following and idea by Mikolay Podlaszewski. -
Uses of BeliefSetIterator in org.tweetyproject.arg.saf.util
Modifier and TypeClassDescriptionclass
This class implements a belief base sampler for structured argumentation frameworks. -
Uses of BeliefSetIterator in org.tweetyproject.commons
Modifier and TypeClassDescriptionclass
BeliefSetSampler<T extends Formula,
U extends BeliefSet<T, ?>> This abstract class models a random sampler for belief sets. -
Uses of BeliefSetIterator in org.tweetyproject.commons.postulates
ModifierConstructorDescriptionPostulateEvaluator
(BeliefSetIterator<T, U> iterator, PostulateEvaluatable<T> ev) Creates a new evaluator for the given evaluatable and belief base generator.PostulateEvaluator
(BeliefSetIterator<T, U> iterator, PostulateEvaluatable<T> ev, Collection<Postulate<T>> postulates) Creates a new evaluator for the given evaluatable and belief base generator. -
Uses of BeliefSetIterator in org.tweetyproject.logics.pl.util
Modifier and TypeClassDescriptionclass
Provides an iterator on all syntactically equivalent knowledge bases.class
A simple sampler for propositional belief bases.class
Generates random propositional belief base with a given inconsistency measure (for the contension inconsistency measure) and of a given size.class
class
Generates random propositional belief base with a given inconsistency measure (for the Hs inconsistency measure) and of a given size.class
Generates random propositional belief base with a given inconsistency measure (for the MI inconsistency measure) and of a given size.class
class
A sampler for uniform random k-SAT instances.class
Generates all syntactic variations of knowledge basesclass
This sampler implements a random generation algorithm for generating formulas, based on the syntax tree of propositional formulas.class
Enumerates all belief bases from a text file; the file contains one belief base per line.