| dc.date.accessioned | 2008-08-26T15:23:56Z | |
| dc.date.accessioned | 2018-11-26T22:25:36Z | |
| dc.date.available | 2008-08-26T15:23:56Z | |
| dc.date.available | 2018-11-26T22:25:36Z | |
| dc.date.issued | 1977-04 | |
| dc.identifier.uri | http://hdl.handle.net/1721.1/41979 | |
| dc.identifier.uri | http://repository.aust.edu.ng/xmlui/handle/1721.1/41979 | |
| dc.description | The author of this work is supported by an IBM Fellowship. The research described herein is being conducted at the Artificial Intelligence Laboratory, a Massachusetts Institute of Technology research program. | en |
| dc.description.abstract | A system is proposed capable of generating narrative computer animation in response to a simple script. The major problem addressed is how to imbed into the system some of the knowledge that animators use when creating animation. Infinitely many animated films can fulfill a single script. The system is faced with the problem of how to make a good one by making decisions in very under-constrained situations. This paper is a total revision of AI Working Paper 119. | en |
| dc.language.iso | en_US | en |
| dc.publisher | MIT Artificial Intelligence Laboratory | en |
| dc.title | A Computational Theory of Animation | en |
| dc.type | Working Paper | en |
