(Enter summary)
Abstract: The use of primary e#ects of operators in planning
is an e#ective approach to reduce search
costs. However, the characterization of "good"
primary e#ects has remained at an informal
level. In this paper we present a formal criterion
for selecting useful primary e#ects, which
guarantees planning e#ciency, completeness,
and optimality. We also describe an inductive
learning algorithm based on this criterion that
automatically selects primary e#ects of operators. (Update)
Context of citations to this paper: More
.... 1989 ] replacing problems with similar simpler problems [ Hibler, 1994 ] and selecting primary effects of operators [ Fink and Yang, 1992; 1993 ] A generalized model of improving representations in problem solving was suggested by Korf, who formalized the concept...
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BibTeX entry: (Update)
Eugene Fink and Qiang Yang. Characterizing and automatically finding primary effects in planning. International Joint Conference on Artificial Intelligence, pages 1374--1379. http://citeseer.ist.psu.edu/fink93characterizing.html More
@inproceedings{ fink93characterizing,
author = "Eugene Fink and Qiang Yang",
title = "Characterizing and Automatically Finding Primary Effects in Planning",
booktitle = "{IJCAI}",
pages = "1374-1379",
year = "1993",
url = "citeseer.ist.psu.edu/fink93characterizing.html" }
Citations (may not include all citations):
891
STRIPS: a new approach to the application of theorem proving.. (context) - Fikes, Nilsson - 1971
198
Practical Planning: Extending the Classical AI Planning Para.. (context) - Wilkins - 1988
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57
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ABTWEAK: abstracting a nonlinear (context) - Yang, Tenenberg - 1990
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The downward refinement property (context) - Bacchus, Yang - 1991
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Formalizing plan justifications
- Fink, Yang - 1992
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Artificial Intelligence (context) - conjunctive - 1987
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Planning with primary e#ects (context) - Fink, Yang - 1992
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