Show simple item record

What to Read: A Biased Guide to AI Literacy for the Beginner

dc.date.accessioned2008-04-15T14:41:13Z
dc.date.accessioned2018-11-24T10:29:25Z
dc.date.available2008-04-15T14:41:13Z
dc.date.available2018-11-24T10:29:25Z
dc.date.issued1972-11
dc.identifier.urihttp://hdl.handle.net/1721.1/41185
dc.identifier.urihttp://repository.aust.edu.ng/xmlui/handle/1721.1/41185
dc.descriptionAcknowledgements. It was Ken Forbus' idea, and he, Howie Shrobe, Dan Weld, and John Batali read various drafts. Dan Huttenlocher and Tom Knight helped with the speech recognition section. The science fiction section was prepared with the aid of my SF/AI editorial board, consisting of Carl Feynman and David Wallace, and of the ArpaNet SF-Lovers community. Even so, all responsibility rests with me.en
dc.description.abstractThis note tries to provide a quick guide to AI literacy for the beginning AI hacker and for the experienced AI hacker or two whose scholarship isn't what it should be. most will recognize it as the same old list of classic papers, give or take a few that I feel to be under- or over-rated. It is not guaranteed to be thorough or balanced or anything like that.en
dc.language.isoen_USen
dc.publisherMIT Artificial Intelligence Laboratoryen
dc.titleWhat to Read: A Biased Guide to AI Literacy for the Beginneren
dc.typeWorking Paperen


Files in this item

FilesSizeFormatView
AI_WP_239.pdf1.480Mbapplication/pdfView/Open

This item appears in the following Collection(s)

Show simple item record