STAN4: a hybrid planning strategy based on subproblem abstraction

Maria Fox; Derek Long

doi:10.1609/aimag.v22i3.1577

STAN4: a hybrid planning strategy based on subproblem abstraction

Maria Fox, Derek Long

Computer And Information Sciences

Research output: Contribution to journal › Article › peer-review

18 Citations (Scopus)

20 Downloads (Pure)

Abstract

Planning domains often feature subproblems such as route planning and resource handling. Using static domain analysis techniques, we have been able to identify certain commonly occurring subproblems within planning domains, making it possible to abstract these subproblems from the overall goals of the planner and deploy specialized technology to handle them in a way integrated with the broader planning activities. Using two such subsolvers our hybrid planner, stan4, participated successfully in the Fifth International Conference on Artificial Intelligence Planning and Scheduling (AIPS'00) planning competition.

Original language	English
Pages (from-to)	102-111
Number of pages	9
Journal	AI Magazine
Volume	22
Issue number	3
DOIs	https://doi.org/10.1609/aimag.v22i3.1577
Publication status	Published - 15 Sep 2001

Keywords

planning technology
scheduling
static domain analysis
stan4
artificial intelligence

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Cite this

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STAN4: a hybrid planning strategy based on subproblem abstraction

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