Integrating Cases and Models Through Approximate-Model-Based Adaptation
نویسنده
چکیده
This paper describes an approach to the integration of case and models called model-based adaptation (MBA). Under this approach, case-based reasoning is used to find an approximate solution, and model-based reasoning is then used to adapt this approximate solution into a more precise solution. This paper distinguishes two distinct forms of MBA--per]ect-model-based adaptation and approximate-model-based adaptation--sets forth the applicability conditions and potential benefits of each, and describes three systems that use approximate-model-based adaptation.
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