Weak Equivalence for Constraint Sets
Proceedings of the Twelfth International Joint Conference on Artificial Intelligence. Logic Programming. Pages 851-855.
Abstract
We describe a generalization of equivalence between constraint sets, called weak equivalence. This new equivalence relation takes into account that not all variables have the same function in a constraint set and therefore distinguishes between restriction variables and intermediate variables. We explore the properties of weak equivalence and its underlying notion of weak implication with an axiomatic approach. In addition a complete set of axioms for weak implication is presented. With examples derived from the declarative rule language RL we show the applicability of weak equivalence to constraint solving.
@inproceedings{ijcai1991p125,
title = {Weak Equivalence for Constraint Sets},
author = {van Denneheuvel, Sieger and Kwast, Karen L.},
booktitle = {Proceedings of the Twelfth International Joint Conference on
Artificial Intelligence, {IJCAI-91}},
publisher = {International Joint Conferences on Artificial Intelligence},
editor = {John Mylopoulos and Ray Reiter},
pages = {851--855},
year = {1991},
month = {8},
note = {Logic Programming},
url = {https://ijcai.org/proceedings/1991/125},
}
TY - CPAPER TI - Weak Equivalence for Constraint Sets AU - van Denneheuvel, Sieger AU - Kwast, Karen L. T2 - Proceedings of the Twelfth International Joint Conference on Artificial Intelligence, IJCAI-91 PB - International Joint Conferences on Artificial Intelligence PY - 1991 SP - 851 EP - 855 UR - https://ijcai.org/proceedings/1991/125 ER -Copied
Machine-readable versions of this paper, for tools and AI agents: