Case-Based Recommender Components for Scientific Problem-Solving
David C. Wilson, David B. Leake and Randall Bramley.
Proceedings of the Sixteenth IMACS World Congress, 2000.
6 pages. In press.
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 effective 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 effort 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 effort
in software component systems and PSEs for scientific 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 scientific
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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