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Constraint Satisfaction over Connected Row Convex Constraints

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Proceedings of the Fifteenth International Joint Conference on Artificial Intelligence. Constraint Satisfaction. Pages 405-410.

Abstract

In this paper, we study constraint satisfaction over connected row convex (CRC) constraints, a large class of constraints subsuming, in particular , monotone constraints. We first show that CRC constraints are closed under composition, intersection, and transposition, the basic operations of path-consistency algorithms. This establishes that path consistency over CRC constraints produces a minimal and decomposable network, strenghtening the results of van Beek and Dechter [1995]. We then present a path-consistency algorithm for CRC constraints running in time 0( n 3 d2 ) and space O(n 2 d), where n is th e number of variables and d is the size of the largest domain. This improves the traditional time complexity O(n3 d3 ) and space complexity O(n3 d2 ) . Finally, we show that a solution can be found in time O(n 2 ), once the graph is path-consistent.

Yves Deville, Olivier Barette, and Pascal Van Hentenryck. 1997. Constraint Satisfaction over Connected Row Convex Constraints. In Proceedings of the Fifteenth International Joint Conference on Artificial Intelligence, IJCAI-97. IJCAI, 405–410. https://ijcai.org/proceedings/1997/60
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