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Constraint Based Planning with Composable Substate Graphs.

Gregory, Peter, Long, Derek and Fox, Maria (2010) Constraint Based Planning with Composable Substate Graphs. In: ECAI 2010 - 19th European Conference on Artificial Intelligence. IOS Press, Amsterdam, The Netherlands, pp. 453-458. ISBN 978-1-60750-605-8

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Abstract

Constraint satisfaction techniques provide powerful inference algorithms
that can prune choices during search. Constraint-based approaches
provide a useful complement to heuristic search optimal
planners.We develop a constraint-based model for cost-optimal planning
that uses global constraints to improve the inference in planning.
The key novelty in our approach is in a transformation of the
SAS+ input that adds a form of macro-action to fully connect chains
of composable operators. This translation leads to the development
of a natural dominance constraint on the new problem which we add
to our constraint model.
We provide empirical results to show that our planner, Constance,
solves more instances than the current best constraint-based planners.
We also demonstrate the power of our new dominance constraints in
this representation.

Item Type: Book Chapter
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Schools: School of Computing and Engineering
School of Computing and Engineering > High-Performance Intelligent Computing > Planning, Autonomy and Representation of Knowledge
School of Computing and Engineering > High-Performance Intelligent Computing > Planning, Autonomy and Representation of Knowledge
Related URLs:
Depositing User: Peter Gregory
Date Deposited: 10 Jan 2012 10:35
Last Modified: 04 Jun 2013 10:43
URI: http://eprints.hud.ac.uk/id/eprint/12218

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