| dc.date.accessioned | 2008-04-14T13:29:39Z | |
| dc.date.accessioned | 2018-11-24T10:27:51Z | |
| dc.date.available | 2008-04-14T13:29:39Z | |
| dc.date.available | 2018-11-24T10:27:51Z | |
| dc.date.issued | 1980-07 | |
| dc.identifier.uri | http://hdl.handle.net/1721.1/41153 | |
| dc.identifier.uri | http://repository.aust.edu.ng/xmlui/handle/1721.1/41153 | |
| dc.description.abstract | Two well known programming methodologies for artificial intelligence research are compared, the so-called pattern-directed invocation languages and the object-oriented languages. The features and limitations of both approaches are discussed. We show that pattern-directed invocation is a more general formalism, but entails a serious loss of efficiency. We then go on to demonstrate that a language for artificial intelligence research can be created that contains the best features of both approaches. | en |
| dc.language.iso | en_US | en |
| dc.publisher | MIT Artificial Intelligence Laboratory | en |
| dc.title | A Synthesis of Language Ideas for AI Control Structures | en |
| dc.type | Working Paper | en |
