David B. Leake, Andrew Kinley, and David Wilson.
Proceedings of the Fifteenth International
Joint Conference on Artificial Intelligence, Morgan Kaufmann, San
Francisco, 1997. 6 pages.
Abstract
The case-based reasoning process depends on multiple overlapping
knowledge sources, each of which provides an opportunity for learning.
Exploiting these opportunities requires not only determining the
learning mechanisms to use for each individual knowledge source, but
also how the different learning mechanisms interact and their combined
utility. This paper presents a case study examining the relative
contributions and costs involved in learning processes for three
different knowledge sources---cases, case adaptation knowledge, and
similarity information---in a case-based planner. It demonstrates the
importance of interactions between different learning processes and
identifies a promising method for integrating multiple learning
methods to improve case-based reasoning.
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