Uses of Interface
org.tweetyproject.commons.QuantitativeReasoner
Package
Description
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Uses of QuantitativeReasoner in org.tweetyproject.arg.deductive.reasoner
Modifier and TypeClassDescriptionclass
This class contains common characteristics for deductive argumentation reasoner.class
This class implements the approach of knowledge base compilation as proposed in
Philippe Besnard and Anthony Hunter.class
This class implements a brute force approach to deductive argumentation. -
Uses of QuantitativeReasoner in org.tweetyproject.arg.prob.reasoner
Modifier and TypeClassDescriptionclass
Abstract anecestor for PAF reasoner.class
This class implements the Monte Carlo algorithm for estimating probabilities of extensions in probabilistic argumentation frameworks from [Li, Oren, Norman.class
This class implements a naive algorithm for computing probabilities of extensions in probabilistic argumentation frameworks from [Li, Oren, Norman. -
Uses of QuantitativeReasoner in org.tweetyproject.arg.social.reasoner
Modifier and TypeClassDescriptionclass
This reasoner provides is an implementation of the "Iterative Successive Substitution Algorithm" from [Marco Correia and Jorge Cruz and João Leite. -
Uses of QuantitativeReasoner in org.tweetyproject.logics.mln.reasoner
Modifier and TypeClassDescriptionclass
This class provides common methods for MLN reasoner.class
This class implements a wrapper for Alchemy in order to reason with MLNs.class
This reasoner performs approximate reasoning with MLNs by considering only a subset of all Herbrand interpretations.class
This MLN reasoner takes another MLN reasoner and performs several iterations with this one and takes the average result as result.class
This class implements a simple reasoner for MLNs.class
This MLN reasoner employs simple random sampling from the set of interpretations to compute the probability of a formula. -
Uses of QuantitativeReasoner in org.tweetyproject.logics.pcl.reasoner
Modifier and TypeClassDescriptionclass
Abstract class for all PCL reasoners.class
This class implements a maximum entropy reasoner for probabilistic conditional logic.class
This class implements a generalized maximum entropy reasoner for probabilistic conditional logic as proposed in [Potyka, Thimm, 2014] which also works for inconsistent belief sets. -
Uses of QuantitativeReasoner in org.tweetyproject.logics.rpcl.reasoner