A Hypothesis-Frame System for Recognition Problems (opens in new tab)

A Hypothesis-Frame System for Recognition Problems Fahlman, Scott E. This paper proposes a new approach to a broad class of recognition problems ranging from medical diagnosis to vision. The features of this approach include a top-down hypothesize-and-test style and the use of a great deal of high-level knowledge about the subject. This knowledge is packaged into small groups of related facts and procedures called frames. Work reported herein was conducted at the Artificial Intelligence Labor...