Class CReasoner

  • All Implemented Interfaces:
    net.sf.tweety.commons.ModelProvider<Conditional,​ClBeliefSet,​RankingFunction>, net.sf.tweety.commons.QualitativeReasoner<ClBeliefSet,​net.sf.tweety.logics.pl.syntax.PlFormula>, net.sf.tweety.commons.Reasoner<Boolean,​ClBeliefSet,​net.sf.tweety.logics.pl.syntax.PlFormula>

    public class CReasoner
    extends AbstractConditionalLogicReasoner
    This class models a c-reasoner for conditional logic. Reasoning is performed by computing a minimal c-representation for the given knowledge base.
    A c-representation for a conditional knowledge base R={r1,...,rn} is a ranking function k such that k accepts every conditional in R (k |= R) and if there are numbers k0,k1+,k1-,...,kn+,kn- with
    k(w)=k0 + \sum_{w verifies ri} ki+ + \sum_{w falsifies ri} kj- for every w. A c-representation is minimal if k0+...+kn- is minimal. This reasoner uses mathematical optimization for solving the above problem and is usually faster than the brute force approach.

    See Gabriele Kern-Isberner. Conditionals in nonmonotonic reasoning and belief revision. Lecture Notes in Computer Science, Volume 2087. 2001.
    Author:
    Matthias Thimm