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Lecture Notes in Computer Science
The paper addresses the well-known bottleneck of knowledge based system design and implementation -the issue of knowledge maintenance and knowledge evolution throughout lifecycle of the system. Different machine learning methodologies can support necessary knowledge-base revision. This process has to be studied along two independent dimensions. The first one is concerned with complexity of the revision process itself, while the second one evaluates the quality of decision-making correspondingdoi:10.1007/978-3-540-48247-5_61 fatcat:sgfkjzsu3ffg3iok46jxprryky