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OFAI-TR-93-09 ( 128kB g-zipped PostScript file)

The Role of Qualitative Knowledge in Machine Learning

Johannes Fürnkranz

This paper analyzes the important role qualitative knowledge plays in Machine Learning. For this purpose important results from research in the fields approximate theory formation, automated qualitative modeling, learning in plausible domain theories and learning with abstractions are reviewed. The analysis of these approaches shows several of the benefits the use of qualitative knowledge can bring to Machine Learning and also points out important problems that have to be dealt with. The need for qualitative knowledge to keep learning tractable is illustrated with examples from the domain of chess. Finally we make some suggestions for further research based on the shortcomings of previous approaches.

Citation: Fürnkranz J.: The Role of Qualitative Knowledge in Machine Learning, Austrian Research Institute for Artificial Intelligence, Vienna, TR-93-09, 1993.