Scope and Abstraction: Two Criteria for Localized Planning
Abstract
Localization is a general-purpose representational technique for partitioning a problem into subproblems A localized problem-solver searches several smaller search spaces, one for each subproblem Unlike most methods of partitioning, however, localization allows for subproblems that overlap- 1 e multiple search spaces may be involved in constructing shared pieces of the overall plan In this paper we focus on two criteria for forming localizations scope and abstraction We describe a method for automatically generating such localizations and provide empirical results that contrast their use in an office-building construction domain 1
Cite
Text
Lansky and Getoor. "Scope and Abstraction: Two Criteria for Localized Planning." International Joint Conference on Artificial Intelligence, 1995.Markdown
[Lansky and Getoor. "Scope and Abstraction: Two Criteria for Localized Planning." International Joint Conference on Artificial Intelligence, 1995.](https://mlanthology.org/ijcai/1995/lansky1995ijcai-scope/)BibTeX
@inproceedings{lansky1995ijcai-scope,
title = {{Scope and Abstraction: Two Criteria for Localized Planning}},
author = {Lansky, Amy L. and Getoor, Lise},
booktitle = {International Joint Conference on Artificial Intelligence},
year = {1995},
pages = {1612-1619},
url = {https://mlanthology.org/ijcai/1995/lansky1995ijcai-scope/}
}