An investigation of the kinds of problem-solving activity that are involved in computer programming and the kinds of language and representational means that are needed to produce more sophisticated compilers. Two major themes are presented: (1) More of the programming burden can be shifted from programmer to computer if the computer is given some problem-solving powers; and (2) if we are to have flexibility in a compiler language commensurate with the flexibility of natural language, we must first gain an understanding of the ways in which meanings are represented in natural language, and then devise representations of corresponding power (and ambiguity) for compiling languages.
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