Authors
Alexander Felfernig, Gerhard Friedrich, Dietmar Jannach, Markus Stumptner
Publication date
2004/2/1
Journal
Artificial Intelligence
Volume
152
Issue
2
Pages
213-234
Publisher
Elsevier
Description
Configuration problems are a thriving application area for declarative knowledge representation that currently experiences a constant increase in size and complexity of knowledge bases. Automated support of the debugging process of such knowledge bases is a necessary prerequisite for effective development of configurators. We show that this task can be achieved by consistency-based diagnosis techniques. Based on the formal definition of consistency-based configuration we develop a framework suitable for diagnosing configuration knowledge bases. During the test phase of configurators, valid and invalid examples are used to test the correctness of the system. In case such examples lead to unintended results, debugging of the knowledge base is initiated. Starting from a clear definition of diagnosis in the configuration domain we develop an algorithm based on conflicts. Our framework is general enough …
Total citations
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Scholar articles
A Felfernig, G Friedrich, D Jannach, M Stumptner - Artificial Intelligence, 2004