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dc.contributor.advisorGerald Sussman
dc.contributor.authorBeal, Jacob
dc.contributor.authorSussman, Gerald
dc.contributor.otherMathematics and Computation
dc.date.accessioned2006-06-01T16:23:27Z
dc.date.available2006-06-01T16:23:27Z
dc.date.issued2006-03
dc.identifier.otherMIT-CSAIL-TR-2006-041
dc.identifier.urihttp://hdl.handle.net/1721.1/32987
dc.description.abstractCurrent 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.extent2 p.
dc.format.extent4176387 bytes
dc.format.extent211150 bytes
dc.format.mimetypeapplication/postscript
dc.format.mimetypeapplication/pdf
dc.language.isoen_US
dc.relation.ispartofseriesMassachusetts Institute of Technology Computer Science and Artificial Intelligence Laboratory
dc.subjectartificial intelligence
dc.titleCogSci to AI: It's the Brainware, Stupid!
dc.identifier.citationAAAI 2006 Spring Symposium "Between a Rock and a Hard Place: Cognitive Science Principles Meet AI-Hard Problems", Stanford, March 2006.


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