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The acquisition of design knowledge is a complex task. this paper prescribes a methodology that assists in identification of machine learning techniques that partially automate design knowledge acquisition. The use of this method is illustrated in the design of two learning systems: BRIDGER and BOSS. The conclusions elaborate on the general issues involved in the use of learning in engineering design triggered by these two programs.
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