Abstract
Problem decomposition can improve planning efficiency by partitioning a complex problem into simpler parts. Since the sub-problems are solved separately, this planning strategy can also incur redundancy. To remove the redundant parts of a plan, some plan-steps can be merged, producing a plan that is less costly to execute.
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© 1997 Springer-Verlag Berlin Heidelberg
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Yang, Q. (1997). Plan Merging. In: Intelligent Planning. Artificial Intelligence. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-60618-2_8
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DOI: https://doi.org/10.1007/978-3-642-60618-2_8
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-64477-1
Online ISBN: 978-3-642-60618-2
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