A Frame for Frames: Representing Knowledge for Recognition.
MASSACHUSETTS INST OF TECH CAMBRIDGE ARTIFICIAL INTELLIGENCE LAB
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This paper presents a version of frames suitable for representing knowledge for a class of recognition problems. An initial section gives an intuitive model of frames, and illustrates a number of desirable features of such a representation. A more technical example describes a small recognition program for the Blocks World which implements some of these features. The final section discusses the more general significance of the representation and the recognition process used in the example.