Case Study 5 — NONMON: Learning with Recoverable Simplifications
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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