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          <dc:title>Justifications and Blocking Sets in a Rule-Based Answer Set Computation</dc:title>
          <dc:creator>Béatrix, Christopher</dc:creator>
          <dc:creator>Lefèvre, Claire</dc:creator>
          <dc:creator>Garcia, Laurent</dc:creator>
          <dc:creator>Stéphan, Igor</dc:creator>
          <dc:subject>Answer Set Programming</dc:subject>
          <dc:subject>Justification</dc:subject>
          <dc:subject>Rule-based Computation</dc:subject>
          <dc:description>Notions of justifications for logic programs under answer set semantics have been recently studied for atom-based approaches or argumentation approaches. The paper addresses the question in a rule-based answer set computation: the search algorithm does not guess on the truth or falsity of an atom but on the application or non application of a non monotonic rule. In this view, justifications are sets of ground rules with particular properties. Properties of these justifications are established; in particular the notion of blocking set (a reason incompatible with an answer set) is defined, that permits to explain computation failures. Backjumping, learning, debugging and explanations are possible applications.</dc:description>
          <dc:publisher>Schloss Dagstuhl – Leibniz-Zentrum für Informatik</dc:publisher>
          <dc:contributor>Christopher Béatrix and Claire Lefèvre and Laurent Garcia and Igor Stéphan</dc:contributor>
          <dc:date>2016</dc:date>
          <dc:relation>Is Part Of OASIcs, Volume 52, Technical Communications of the 32nd International Conference on Logic Programming (ICLP 2016)</dc:relation>
          <dc:type>InProceedings</dc:type>
          <dc:type>Text</dc:type>
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          <dc:identifier>doi:10.4230/OASIcs.ICLP.2016.6</dc:identifier>
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          <dc:language>eng</dc:language>
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