Iterative focusing for finding faults in large configurator knowledge bases
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چکیده
Adequate maintenance and debugging support is a key pre-requisite for successful industrial application of AI technology. Consistency-based diagnosis techniques have shown to be a promising approach for detecting faults in declarative knowledge bases in the domain of product configuration. We show how the efficiency of the basic diagnostic reasoning approach that uses (partial) configurations as test cases can be enhanced by exploiting given structures in these knowledge bases and by iteratively focusing on potentially faulty parts of the knowledge base.
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تاریخ انتشار 2006