Adaptation and Re-description in the Context of Geometric Proportional Analogies

Recent research in analogy, metaphor and retrieval in case-based systems has suggested the need to integrate a re-description capability with the creation of mappings. In this paper, we argue that there is also a need for systems that adapt knowledge for reuse to integrate re-description into the process of adaptation. We describe a system called INA which does this while solving geometric proportional analogies. We then discuss the properties a system must have in order to integrate re-description and adaptation. Finally, we compare our work with some other related approaches.