| dc.date.accessioned | 2006-06-01T16:23:27Z | |
| dc.date.accessioned | 2018-11-24T10:24:53Z | |
| dc.date.available | 2006-06-01T16:23:27Z | |
| dc.date.available | 2018-11-24T10:24:53Z | |
| dc.date.issued | 2006-03 | |
| dc.identifier.citation | AAAI 2006 Spring Symposium "Between a Rock and a Hard Place: Cognitive Science Principles Meet AI-Hard Problems", Stanford, March 2006. | |
| dc.identifier.uri | http://hdl.handle.net/1721.1/32987 | |
| dc.identifier.uri | http://repository.aust.edu.ng/xmlui/handle/1721.1/32987 | |
| dc.description.abstract | Current modularization techniques fail when applied to hard AI problems.But cognitive science shows that the mind has modules specialized for particular functions.Unlike current engineered modules, the modules of themind learn to communicate with each other as a child matures.Kirby's ideas on language evolution, combined with constraints derivedfrom neuroanatomy, yield a new mechanism for integrating modules intoa system: a communications bootstrapping system in which two agentsbuild a shared vocabulary capturing information common to their mutualexperience, including cross-module knowledge about the world. | |
| dc.format.extent | 2 p. | |
| dc.format.extent | 4176387 bytes | |
| dc.format.extent | 211150 bytes | |
| dc.language.iso | en_US | |
| dc.subject | artificial intelligence | |
| dc.title | CogSci to AI: It's the Brainware, Stupid! | |
