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MAN-MACHINE COLLABORATION FOR KNOWLEDGE ACQUISITION

Both machine learning and knowledge elicitation from human experts have unique strengths and weaknesses. Man-machine collaboration for knowledge acquisition allows both knowledge acquisition techniques to be employed hand-in-hand. The strengths of each can alleviate the other's weaknesses. This has the potential to both reduce the time taken to develop an expert system while increasing the quality of the finished product. This paper discusses techniques for man-machine collaboration for knowledge acquisition and describes Einstein, a computer system that implements those techniques.