Relating constraint answer set programming languages and algorithms
Recently a logic programming language AC was proposed by Mellarkod et al. [1] to integrate answer set programming and constraint logic programming. Soon after that, a clingcon language integrating answer set programming and finite domain constraints, as well as an ezcsp language integrating answer s...
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description | Recently a logic programming language AC was proposed by Mellarkod et al. [1] to integrate answer set programming and constraint logic programming. Soon after that, a clingcon language integrating answer set programming and finite domain constraints, as well as an ezcsp language integrating answer set programming and constraint logic programming were introduced. The development of these languages and systems constitutes the appearance of a new AI subarea called constraint answer set programming. All these languages have something in common. In particular, they aim at developing new efficient inference algorithms that combine traditional answer set programming procedures and other methods in constraint programming. Yet, the exact relation between the constraint answer set programming languages and the underlying systems is not well understood. In this paper we address this issue by formally stating the precise relation between several constraint answer set programming languages – AC, clingcon, ezcsp – as well as the underlying systems. |
doi_str_mv | 10.1016/j.artint.2013.10.004 |
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Computer arithmetics</subject><subject>Algorithms</subject><subject>Applied sciences</subject><subject>Artificial intelligence</subject><subject>Computer science; control theory; systems</subject><subject>Constraint satisfaction processing</subject><subject>Exact sciences and technology</subject><subject>Expert systems</subject><subject>Inference</subject><subject>Learning and adaptive systems</subject><subject>Logic programming</subject><subject>Logical, boolean and switching functions</subject><subject>Mathematical analysis</subject><subject>Programming</subject><subject>Programming languages</subject><subject>Satisfiability modulo theories</subject><subject>Speech and sound recognition and synthesis. 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subjects | (Constraint) answer set programming Algorithmics. Computability. Computer arithmetics Algorithms Applied sciences Artificial intelligence Computer science control theory systems Constraint satisfaction processing Exact sciences and technology Expert systems Inference Learning and adaptive systems Logic programming Logical, boolean and switching functions Mathematical analysis Programming Programming languages Satisfiability modulo theories Speech and sound recognition and synthesis. Linguistics Theoretical computing |
title | Relating constraint answer set programming languages and algorithms |
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