STAN4 : a hybrid planning strategy based on subproblem abstraction

Fox, Maria and Long, Derek (2001) STAN4 : a hybrid planning strategy based on subproblem abstraction. AI Magazine, 22 (3). pp. 102-111. ISSN 0738-4602 (https://doi.org/10.1609/aimag.v22i3.1577)

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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.

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• Item metadata

  Item type:	Article
  ID code:	1938
  Dates:	Date Event 15 September 2001 Published
  Subjects:	Science > Mathematics > Electronic computers. Computer science
  Department:	Faculty of Science > Computer and Information Sciences
  Depositing user:	Professor Maria Fox
  Date deposited:	30 Oct 2006
  Last modified:	11 Nov 2024 08:17
  Related URLs:	Journal or Publication
  URI:	https://strathprints.strath.ac.uk/id/eprint/1938