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ABS1RACT The paper presents an approach to the automation of knowledge acquisition for expert systems. The approach is based on several general principles emerging from the field of machine learning: expert system building as a three phase process, understanding-based knowledge extension, knowledge acquisition through multistrategy learning, consistency-driven concept formation and refinement, closed-loop learning. and synergistic cooperation between the human expert and the learning system. Indoi:10.1109/21.199468 fatcat:xqtviwubszbhrkhnied5ee5cje