(Enter summary)
Abstract: ion:
Two Criteria for Localized Planning
Amy L. Lansky
Lise C. Getoor
Recom Technologies/NASA Ames Research Center
Artificial Intelligence Research Branch
MS 269-2, Moffett Field, CA 94035-1000
LANSKY@PTOLEMY.ARC.NASA.GOV GETOOR@PTOLEMY.ARC.NASA.GOV
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,... (Update)
Context of citations to this paper: More
...In this section, we introduce the concept of domain region for SD models. We envisage domain regions in a similar way to Lansky [9][10], that is, as a classification of substates and actions in terms of object interactions and agents. This classification is aimed at...
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Synthesizing Plans for Multiple Domains - Bouguerra, Karlsson (2005)
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A Survey of Research in Distributed, Continual Planning - desJardins, Durfee.. (2000)
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0.7: Practical Planning in COLLAGE - Lansky, Getoor
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0.3: Automatically Generating Abstractions for Problem Solving - Knoblock (1991)
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0.3: Specialization of Perceptual Processes - Horswill (1994)
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0.3: Statistical Probabilities For Planning - Martin, Allen (1993)
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0.2: The Collage/Khoros Link: Planning for Image Processing.. - Lansky, Friedman.. (1995)
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0.1: Online Scheduling for Reprographic Machines - Fromherz, Getoor
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6: Hierarchical planning in a distributed environment (context) - Corkill - 1979
4: On acting together (context) - Levesque, Cohen et al. - 1990
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BibTeX entry: (Update)
Lansky, A. and L. Getoor, "Scope and Abstraction: Two Criteria for Localized Planning, " Proceedings of IJCAI-95, Montreal, Canada (August 1995). http://citeseer.ist.psu.edu/lansky95scope.html More
@inproceedings{ lansky95scope,
author = "Amy L. Lansky and Lise Getoor",
title = "Scope and Abstraction: Two Criteria for Localized Planning",
booktitle = "{IJCAI}",
pages = "1612-1619",
year = "1995",
url = "citeseer.ist.psu.edu/lansky95scope.html" }
Citations (may not include all citations):
702
Consistency in Networks of Relations (context) - Mackworth - 1977
288
Planning in a Hierarchy of Abstraction Spaces (context) - Sacerdoti - 1974
225
Learning and Executing Generalized Robot Plans (context) - Fikes, Hart et al. - 1972
139
Planning as Search: A Quantitative Approach (context) - Korf - 1987
73
Practical Planning (context) - Wilkins - 1988
57
Learning Abstraction Hierarchies for Problem Solving
- Knoblock - 1990
44
Localized Event-Based Reasoning for Multiagent Domains (context) - Lansky - 1988
25
the Utility of Systematicity: Understanding Tradeoffs Betwee..
- Kambhampati - 1993
12
Action-Based Planning (context) - Lansky - 1994
11
A Hierarchical Planner that Generates Its Own Hierarchies (context) - Christensen - 1990
7
Localized Planning with Diverse Plan Construction Methods (context) - Lansky - 1994
4
Localized Search for Multiagent Domains (context) - Lansky - 1991
3
A Spectrum of Abstraction Hierarchies for Planning (context) - Knoblock, Tenenberg - 1990
2
Investigating the Utility of Artificial Intelligence Techniq.. (context) - Khartam - 1989
The graph only includes citing articles where the year of publication is known.
Documents on the same site (http://robotics.stanford.edu/users/getoor/papers.html): More
Online Scheduling for Reprographic Machines - Fromherz, Getoor
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Efficient Learning using Constrained Sufficient Statistics - Friedman, Getoor
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Learning Probabilistic Relational Models - Friedman, Getoor, Koller, Pfeffer (1999)
(Correct)
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