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Strong and Uniform Equivalence in Answer-Set Programming: Characterizations and Complexity Results for the Non-Ground Case

Thomas Eiter, Michael Fink, Hans Tompits, Stefan Woltran. Strong and Uniform Equivalence in Answer-Set Programming: Characterizations and Complexity Results for the Non-Ground Case. In Manuela M. Veloso, Subbarao Kambhampati, editors, Proceedings, The Twentieth National Conference on Artificial Intelligence and the Seventeenth Innovative Applications of Artificial Intelligence Conference, July 9-13, 2005, Pittsburgh, Pennsylvania, USA. pages 695-700, AAAI Press / The MIT Press, 2005.

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