Case-Based Recommender Components for Scienti c Problem-Solving Environments
نویسندگان
چکیده
Component-based problem-solving environments (PSEs) provide scientists and engineers with a framework of integrated problem-solving tools and resources that they can easily compose and apply in their particular task domains. Developing e ective solution strategies within these environments depends on making good choices about the selection, parameterization, and organization of component tools and resources. Because making good choices may require considerable e ort and expertise, designing \intelligent" components that can make informed recommendations about solution development will play a valuable role in realizing the full potential of PSEs. As part of an overall e ort in software component systems and PSEs for scienti c computing at Indiana University, the CBMatrix project is developing \intelligent recommender components" that use case-based reasoning (CBR) methods to assist in selection, organization, and application of scienti c PSE tools and resources. This paper gives an overview of the CBMatrix project, the issues involved, initial results, and the recommender components under development.
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