Uses of Interface
org.tweetyproject.commons.QuantitativeReasoner
Packages that use QuantitativeReasoner
Package
Description
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Uses of QuantitativeReasoner in org.tweetyproject.arg.deductive.reasoner
Classes in org.tweetyproject.arg.deductive.reasoner that implement QuantitativeReasonerModifier and TypeClassDescriptionclassThis class contains common characteristics for deductive argumentation reasoner.classThis class implements the approach of knowledge base compilation as proposed in
Philippe Besnard and Anthony Hunter.classThis class implements a brute force approach to deductive argumentation. -
Uses of QuantitativeReasoner in org.tweetyproject.arg.prob.reasoner
Classes in org.tweetyproject.arg.prob.reasoner that implement QuantitativeReasonerModifier and TypeClassDescriptionclassAbstract anecestor for PAF reasoner.classThis class implements the Monte Carlo algorithm for estimating probabilities of extensions in probabilistic argumentation frameworks from [Li, Oren, Norman.classThis 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
Classes in org.tweetyproject.arg.social.reasoner that implement QuantitativeReasonerModifier and TypeClassDescriptionclassThis 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
Classes in org.tweetyproject.logics.mln.reasoner that implement QuantitativeReasonerModifier and TypeClassDescriptionclassThis class provides common methods for MLN reasoner.classThis class implements a wrapper for Alchemy in order to reason with MLNs.classThis reasoner performs approximate reasoning with MLNs by considering only a subset of all Herbrand interpretations.classThis MLN reasoner takes another MLN reasoner and performs several iterations with this one and takes the average result as result.classThis class implements a simple reasoner for MLNs.classThis 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
Classes in org.tweetyproject.logics.pcl.reasoner that implement QuantitativeReasonerModifier and TypeClassDescriptionclassAbstract class for all PCL reasoners.classThis class implements a maximum entropy reasoner for probabilistic conditional logic.classThis 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
Classes in org.tweetyproject.logics.rpcl.reasoner that implement QuantitativeReasoner