Learning to Integrate Multiple Knowledge

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 diierent 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 diierent knowledge sources|cases, case adaptation knowledge , and similarity information|in a case-based planner. It demonstrates the importance of interactions between diierent learning processes and identiies a promising method for integrating multiple learning methods to improve case-based reasoning.