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STAN4: a hybrid planning strategy based on subproblem abstraction

Fox, M. and Long, D. (2001) STAN4: a hybrid planning strategy based on subproblem abstraction. AI Magazine, 22 (3). pp. 102-111. ISSN 0738-4602

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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.

Item type: Article
ID code: 1938
Keywords: planning technology, scheduling, static domain analysis, stan4, artificial intelligence, Electronic computers. Computer science, Artificial Intelligence
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: 20 Oct 2015 20:31

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