| dc.date.accessioned | 2008-04-08T19:44:13Z | |
| dc.date.accessioned | 2018-11-24T10:26:31Z | |
| dc.date.available | 2008-04-08T19:44:13Z | |
| dc.date.available | 2018-11-24T10:26:31Z | |
| dc.date.issued | 1973-12 | |
| dc.identifier.uri | http://hdl.handle.net/1721.1/41091 | |
| dc.identifier.uri | http://repository.aust.edu.ng/xmlui/handle/1721.1/41091 | |
| dc.description | Work reported herein was conducted at the Artificial Intelligence Laboratory, a Massachusetts Institute of Technology research program supported in part by the Advanced Research Projects Agency of the Department of Defense and monitored by the Office of Naval Research under Contract Number N00014-70-A-0362-0005. | en |
| dc.description.abstract | 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. | en |
| dc.language.iso | en_US | en |
| dc.publisher | MIT Artificial Intelligence Laboratory | en |
| dc.title | A Hypothesis-Frame System for Recognition Problems | en |
| dc.type | Working Paper | en |
