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System Description: DLV with Aggregates

  • Conference paper
Logic Programming and Nonmonotonic Reasoning (LPNMR 2004)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 2923))

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Abstract

DLV is an efficient Answer Set Programming (ASP) system implementing the (consistent) answer set semantics [GL91] with various language extensions like weak constraints [BLR00], queries, and built-in predicates. A strong point of DLV is the high expressiveness of its language, which is able to express very complex problems, even problems which are hard for the complexity class \(\Delta_3^P\). The language of DLV is therefore strictly more expressive than normal logic programming which cannot express any problem beyond NP. Another strong point of DLV is its robust and efficient implementation, which integrates algorithms and heuristics from the field of nonmonotonic reasoning with several optimization techniques from the field of deductive databases.

The work was partially supported by the European Commission under projects IST-2002-33570 INFOMIX, IST-2001-32429 ICONS, and IST-2001-37004 WASP.

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Author information

Authors and Affiliations

  1. Department of Mathematics, University of Calabria, 87030, Rende (CS), Italy

    Tina Dell’Armi, Giuseppe Ielpa, Nicola Leone & Simona Perri

  2. Institut für Informationssysteme, TU Wien, 1040, Wien, Austria

    Wolfgang Faber & Gerald Pfeifer

Authors
  1. Tina Dell’Armi
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  2. Wolfgang Faber
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  3. Giuseppe Ielpa
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  4. Nicola Leone
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  5. Simona Perri
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  6. Gerald Pfeifer
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Editor information

Editors and Affiliations

  1. Department of Computer Sciences, University of Texas at Austin, USA

    Vladimir Lifschitz

  2. Department of Information and Computer Science, Helsinki University of Technology TKK,  

    Ilkka Niemelä

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© 2003 Springer-Verlag Berlin Heidelberg

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Dell’Armi, T., Faber, W., Ielpa, G., Leone, N., Perri, S., Pfeifer, G. (2003). System Description: DLV with Aggregates. In: Lifschitz, V., Niemelä, I. (eds) Logic Programming and Nonmonotonic Reasoning. LPNMR 2004. Lecture Notes in Computer Science(), vol 2923. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-24609-1_28

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  • DOI: https://doi.org/10.1007/978-3-540-24609-1_28

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-20721-4

  • Online ISBN: 978-3-540-24609-1

  • eBook Packages: Springer Book Archive

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