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Constraint Answer Set Programming versus Satisfiability Modulo Theories
Proceedings of the 25th International Joint Conference on Artificial Intelligence (IJCAI) (2016)
  • Yuliya Lierler
  • Benjamin Susman, University of Nebraska at Omaha
Abstract
Constraint answer set programming is a promising research direction that integrates answer set programming with constraint processing. It is often informally related to the field of Satisfiability Modulo Theories. Yet, the exact formal link is obscured as the terminology and concepts used in these two research areas differ. In this paper, we make the link between these two areas precise.

Publication Date
Summer July, 2016
Citation Information
Yuliya Lierler and Benjamin Susman. "Constraint Answer Set Programming versus Satisfiability Modulo Theories" Proceedings of the 25th International Joint Conference on Artificial Intelligence (IJCAI) (2016)
Available at: http://works.bepress.com/yuliya_lierler/62/