| dc.date.accessioned | 2008-08-26T16:02:26Z | |
| dc.date.accessioned | 2018-11-26T22:25:40Z | |
| dc.date.available | 2008-08-26T16:02:26Z | |
| dc.date.available | 2018-11-26T22:25:40Z | |
| dc.date.issued | 1977-11 | |
| dc.identifier.uri | http://hdl.handle.net/1721.1/41988 | |
| dc.identifier.uri | http://repository.aust.edu.ng/xmlui/handle/1721.1/41988 | |
| dc.description | This research was conducted at the Artificial Intelligence Laboratory of the Massachusetts Institute of Technology. Support for the Laboratory's artificial intelligence research is provided in part by the Advanced Research Projects Agency of the Department of Defense under Office of Naval Research contract number N00014-75-C-0643. | en |
| dc.description.abstract | This paper discusses a number of problems faced in communicating expertise and common sense to a computer, and the approaches taken by several current knowledge representation languages towards solving these problems. The main topic discussed is hierarchy. The importance of hierarchy is almost universally recognized. Hierarchy forms the backbone of many existing representation languages. We discuss several technical problems raised in constructing hierarchical and almost hierarchical systems as criteria and open problems. | en |
| dc.language.iso | en_US | en |
| dc.publisher | MIT Artificial Intelligence Laboratory | en |
| dc.title | Hierarchy in Knowledge Representations | en |
| dc.type | Working Paper | en |
