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Published June 1990 | public
Book Section - Chapter

Correcting and extending domain knowledge using outside guidance


Analytic learning techniques, such as explanation- based learning (EBL), can be powerful methods for acquiring knowledge about a domain where there is a pre-existing theory of the domain. One application of EBL has been to learning apprentice systems where the solution to a problem generated by a human is used as input to the learning process. The learning system analyzes the example and is then able to solve similar problems without outside assistance. One limitation of EBL is that the domain theory must be complete and correct. In this paper we present a general technique for learning from outside guidance that can correct and extend a domain theory. In contrast to hybrid systems that use both analytic and empirical techniques, our approach is completely analytic, using the chunking learning mechanism in the Soar architecture. This technique is demonstrated for a block manipulation task that uses real blocks, a Puma robot arm and a camera vision system.

Additional Information

© 1990 Morgan Kaufmann Publishers, Inc. This research was sponsored by grant NCC2-517 from NASA Ames and ONR grant N00014-88-K-0554.

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October 20, 2023