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Artificial Intelligence, Language and the Study of Knowledge

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dc.creator Goldstein, Ira
dc.creator Papert, Seymour
dc.date 2004-10-04T14:46:54Z
dc.date 2004-10-04T14:46:54Z
dc.date 1975-07-01
dc.date.accessioned 2013-10-09T02:44:24Z
dc.date.available 2013-10-09T02:44:24Z
dc.date.issued 2013-10-09
dc.identifier AIM-337
dc.identifier http://hdl.handle.net/1721.1/6238
dc.identifier.uri http://koha.mediu.edu.my:8181/xmlui/handle/1721
dc.description This paper studies the relationship of Artificial Intelligence to the study of language and the representation of the underlying knowledge which supports the comprehension process. It develops the view that intelligence is based on the ability to use large amounts of diverse kinds of knowledge in procedural ways, rather than on the possession of a few general and uniform principles. The paper also provides a unifying thread to a variety of recent approaches to natural language comprehension. We conclude with a brief discussion of how Artificial Intelligence may have a radical impact on education if the principles which it utilizes to explore the representation and use of knowledge are made available to the student to use in his own learning experiences. This paper is a revised version of an earlier document written with Marvin Minsky. Many of the ideas in this paper owe much to Minsky's thoughtful critique; the authors, however, take responsibility fo the organization and wording of this document.
dc.description Revised March 1976
dc.format 5681828 bytes
dc.format 4168840 bytes
dc.format application/postscript
dc.format application/pdf
dc.language en_US
dc.relation AIM-337
dc.title Artificial Intelligence, Language and the Study of Knowledge


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