| dc.date.accessioned | 2008-04-08T19:48:27Z | |
| dc.date.accessioned | 2018-11-24T10:26:32Z | |
| dc.date.available | 2008-04-08T19:48:27Z | |
| dc.date.available | 2018-11-24T10:26:32Z | |
| dc.date.issued | 1973-12 | |
| dc.identifier.uri | http://hdl.handle.net/1721.1/41092 | |
| dc.identifier.uri | http://repository.aust.edu.ng/xmlui/handle/1721.1/41092 | |
| 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 discusses methods for enhancing the learning abilities of the Winston program, first by representing functional properties of the objects considered, and secondly by embedding individual models in a hierarchically organized system to provide for economy of recognition. An example is presented illustrating the use of these methods. | en |
| dc.language.iso | en_US | en |
| dc.publisher | MIT Artificial Intelligence Laboratory | en |
| dc.title | Functions and Frames in the Learning of Structures | en |
| dc.type | Working Paper | en |
