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Building and improving design systems : a machine learning approach

Yoram Reich

出版	EDRC, 1991
URL	http://books.google.com.hk/books?id=EXUsGwAACAAJ&hl=&source=gbs_api

註釋

The prescription, called M2LTD (Mapping Machine Learning To Design) is based on the following steps: (1) analysis of the design process and its decomposition into a collection of smaller tasks; (2) identification of the representation of design objects used in each of the tasks described in Step (1) for the particular domain of interest, and of the strategies each task uses; (3) selection of closely related machine learning paradigms, also called generic learning tasks, that have the characteristics identified in Step (2); and (4) use of additional domain characteristics to select particular machine learning programs, from the collection available in each paradigm found in Step (3), that can acquire the knowledge in the right representation and support the strategies employed.