| dc.date.accessioned | 2008-04-10T12:53:21Z | |
| dc.date.accessioned | 2018-11-24T10:26:34Z | |
| dc.date.available | 2008-04-10T12:53:21Z | |
| dc.date.available | 2018-11-24T10:26:34Z | |
| dc.date.issued | 1973-11 | |
| dc.identifier.uri | http://hdl.handle.net/1721.1/41095 | |
| dc.identifier.uri | http://repository.aust.edu.ng/xmlui/handle/1721.1/41095 | |
| 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 | An approach to vision research is described that combines ideas about low level processing with more abstract notions about the representation of knowledge in intelligent systems. A particular problem, of the representation of knowledge about the three-dimensional world, is discussed: the outline of a solution is given, and an experimental world of simple mechanical assemblies is described, in which the solution may be implemented and tested. A tentative summary is given of the knowledge that is required for operating in this world, and a research project is proposed. | en |
| dc.language.iso | en_US | en |
| dc.publisher | MIT Artificial Intelligence Laboratory | en |
| dc.title | Video Ergo Scio | en |
| dc.type | Working Paper | en |
