STAN4: a hybrid planning strategy based on subproblem abstraction

Maria Fox, Derek Long

Research output: Contribution to journalArticle

17 Citations (Scopus)

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.
LanguageEnglish
Pages102-111
Number of pages9
JournalAI Magazine
Volume22
Issue number3
Publication statusPublished - 2001

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Planning
Artificial intelligence
Scheduling

Keywords

  • planning technology
  • scheduling
  • static domain analysis
  • stan4
  • artificial intelligence

Cite this

Fox, Maria ; Long, Derek. / STAN4 : a hybrid planning strategy based on subproblem abstraction. In: AI Magazine. 2001 ; Vol. 22, No. 3. pp. 102-111.
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Fox, M & Long, D 2001, 'STAN4: a hybrid planning strategy based on subproblem abstraction' AI Magazine, vol. 22, no. 3, pp. 102-111.

STAN4 : a hybrid planning strategy based on subproblem abstraction. / Fox, Maria; Long, Derek.

In: AI Magazine, Vol. 22, No. 3, 2001, p. 102-111.

Research output: Contribution to journalArticle

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AU - Long, Derek

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KW - scheduling

KW - static domain analysis

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KW - artificial intelligence

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EP - 111

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