Abstract
Corpora for training plan recognizers are scarce and difficult to gather from humans. However, corpora could be a boon to plan recognition research, providing a platform to train and test individual recognizers, as well as allow different recognizers to be compared. We present a novel method for generating artificial corpora for plan recognition. The method uses a modified AI planner and Monte-Carlo sampling to generate action sequences labeled with their goal and plan. This general method can be ported to allow the automatic generation of corpora for different domains.
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Blaylock, N., Allen, J. (2005). Generating Artificial Corpora for Plan Recognition. In: Ardissono, L., Brna, P., Mitrovic, A. (eds) User Modeling 2005. UM 2005. Lecture Notes in Computer Science(), vol 3538. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11527886_24
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DOI: https://doi.org/10.1007/11527886_24
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-27885-6
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