Case Study 5 — NONMON: Learning with Recoverable Simplifications

  • Steve Chien
Part of the The Springer International Series in Engineering and Computer Science book series (SECS, volume 120)


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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Copyright information

© Springer Science+Business Media New York 1993

Authors and Affiliations

  • Steve Chien

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