Constraint Satisfaction over Connected Row Convex Constraints
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.
@inproceedings{ijcai1997p60,
title = {Constraint Satisfaction over Connected Row Convex Constraints},
author = {Deville, Yves and Barette, Olivier and Van Hentenryck, Pascal},
booktitle = {Proceedings of the Fifteenth International Joint Conference on
Artificial Intelligence, {IJCAI-97}},
publisher = {International Joint Conferences on Artificial Intelligence},
editor = {Martha E. Pollack},
pages = {405--410},
year = {1997},
note = {Constraint Satisfaction},
url = {https://ijcai.org/proceedings/1997/60},
}
TY - CPAPER TI - Constraint Satisfaction over Connected Row Convex Constraints AU - Deville, Yves AU - Barette, Olivier AU - Van Hentenryck, Pascal T2 - Proceedings of the Fifteenth International Joint Conference on Artificial Intelligence, IJCAI-97 PB - International Joint Conferences on Artificial Intelligence PY - 1997 SP - 405 EP - 410 UR - https://ijcai.org/proceedings/1997/60 ER -Copied
Machine-readable versions of this paper, for tools and AI agents: