Abstract
This chapter describes an implementation of recoverable simplifications (described in Chapter 4). This system learns general plans for constructing assemblies in a workshop domain and uses operators representing actions such as drilling, heating, and rolling of objects. The implemented system learns by analyzing plans generated by a problem—solving system or observed from an expert.
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© 1993 Springer Science+Business Media New York
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Chien, S. (1993). Case Study 5 — NONMON: Learning with Recoverable Simplifications. In: DeJong, G. (eds) Investigating Explanation-Based Learning. The Springer International Series in Engineering and Computer Science, vol 120. Springer, Boston, MA. https://doi.org/10.1007/978-1-4615-3602-4_13
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DOI: https://doi.org/10.1007/978-1-4615-3602-4_13
Publisher Name: Springer, Boston, MA
Print ISBN: 978-1-4613-6600-3
Online ISBN: 978-1-4615-3602-4
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