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The AI Magazine
In the mid to late 1980s there was a flurry of papers using explanationbased techniques to learn how to perform complex actions by observing (or interpreting descriptions of) human performance. These techniques were shown to work reasonably well with one or a small number of examples. However, as statistical approaches gained in power and popularity, and some kinds of data became more plentiful, machine learning as a field moved away from this kind of learning, which requires strong domain Reportsdoi:10.1609/aimag.v28i4.2071 dblp:journals/aim/AnandBBBCCDDDEGGGHJJJKKLLLLMMMMNNOOPRRRSSWW07 fatcat:kv7si5jmjnekjkr54qlcmoh6rm