Titlebook: Knowledge Acquisition for Knowledge-Based Systems; 7th European Worksho N. Aussenac,G. Boy,Y. Kodratoff Conference proceedings 1993 Springe

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A machine learning tool designed for a model-based knowledge acquisition approach,osely as possible the explicit reasoning method chosen for the future system. To this end we have mapped the inputs of a Machine Learning system to different parts of the model of expertise as it is used in the KADS methodology. This knowledge constrains the learning process thereby assuring coheren

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Model Construction in MIKE (Model based and Incremental Knowledge Engineering), in addition to a formal and operational one. The semiformal representation serves as a basis for communication between the knowledge engineer and the expert allowing the expert to be integrated in the knowledge engineering process. Knowledge elements are extracted from knowledge protocols from elic

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