Controlling Constraint Propagation
Proceedings of the Tenth International Joint Conference on Artificial Intelligence. Reasoning. Pages 1032-1033.
Abstract
We have been engaged in work about the propagation of temporal constraints in the domain of job-shop scheduling. Many systems have been or are currently used to propagate temporal constraints. However, very few attempts have been made to build systems in which the amount of computational effort spent in constraint propagation is not fixed once for all. We do believe various pieces of knowledge can be used to dynamically adjust the amount of propagation. Consequently, we advocate the use of a flexible propagation system. We describe such a system and discuss control knowledge enabling dynamic adaptation of the amount of propagation to the needs of a problem solver. We also provide examples in the domain of job-shop scheduling.
@inproceedings{ijcai1987p212,
title = {Controlling Constraint Propagation},
author = {Collinot, Anne and Le Pape, Claude},
booktitle = {Proceedings of the Tenth International Joint Conference on
Artificial Intelligence, {IJCAI-87}},
publisher = {International Joint Conferences on Artificial Intelligence},
editor = {John McDermott},
pages = {1032--1033},
year = {1987},
note = {Reasoning},
url = {https://ijcai.org/proceedings/1987/212},
}
TY - CPAPER TI - Controlling Constraint Propagation AU - Collinot, Anne AU - Le Pape, Claude T2 - Proceedings of the Tenth International Joint Conference on Artificial Intelligence, IJCAI-87 PB - International Joint Conferences on Artificial Intelligence PY - 1987 SP - 1032 EP - 1033 UR - https://ijcai.org/proceedings/1987/212 ER -Copied
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