The Downward Refinement Property
Proceedings of the Twelfth International Joint Conference on Artificial Intelligence. Automated Reasoning. Pages 286-292.
Abstract
Using abstraction in planning does not guarantee an improvement in search efficiency; it is possible for an abstract planner to display worse performance than one that does not use abstraction. Analysis and experiments have shown that good abstraction hierarchies have, or are close to having, the downward refinement property, whereby, given that a concrete-level solution exists, every abstract solution can be refined to a concrete-level solution without backtracking across abstract levels. Working within a semantics for ABSTRIPs-style abstraction we provide a characterization of the downward refin~ment property. After discussing its effect on search effic1ency, we develop a semantic condition sufficient for guaranteeing its presence in an abstraction hierarchy. Using .the semantic condition, we then provide a set of suffic1ent and polynomial-time checkable syntactic conditions that can be used for checking a hierarchy for the downward refinement property.
@inproceedings{ijcai1991p43,
title = {The Downward Refinement Property},
author = {Bacchus, Fahiem and Yang, Qiang},
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 = {286--292},
year = {1991},
month = {8},
note = {Automated Reasoning},
url = {https://ijcai.org/proceedings/1991/43},
}
TY - CPAPER TI - The Downward Refinement Property AU - Bacchus, Fahiem AU - Yang, Qiang T2 - Proceedings of the Twelfth International Joint Conference on Artificial Intelligence, IJCAI-91 PB - International Joint Conferences on Artificial Intelligence PY - 1991 SP - 286 EP - 292 UR - https://ijcai.org/proceedings/1991/43 ER -Copied
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