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.


Goal Achievement Cooling Step Rule Definition Situation Calculus Plan Library 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer Science+Business Media New York 1993

Authors and Affiliations

  • Steve Chien

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