Abstract
To solve a problem with intelligent planning, an expert has to try his best to write a planning domain. It is hard and time-wasting. Considering software requirement as a problem to be solved by intelligent planning, it’s even more difficult to write the domain, because of software requirement’s feature, for instance, changeability. To reduce the difficulty, we divide the work into two tasks: one is to describe an incomplete domain of software requirement with PDDL(Level 1,Strips) [11]; the other is to complete the domain by learning from plan samples based on business processes. We design a learning tool (Learning Action Model from Plan Samples, LAMPS) to complete the second task. In this way, what an expert needs to do is to do the first task and give some plan samples. In the end, we offer some experiment result analysis and conclusion.
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Zhuo, H., Li, L., Bian, R., Wan, H. (2007). Requirement Specification Based on Action Model Learning. In: Huang, DS., Heutte, L., Loog, M. (eds) Advanced Intelligent Computing Theories and Applications. With Aspects of Theoretical and Methodological Issues. ICIC 2007. Lecture Notes in Computer Science, vol 4681. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-74171-8_56
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DOI: https://doi.org/10.1007/978-3-540-74171-8_56
Publisher Name: Springer, Berlin, Heidelberg
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