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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.<\/jats:p>","DOI":"10.1207\/s15516709cog0101_5","type":"journal-article","created":{"date-parts":[[2005,10,20]],"date-time":"2005-10-20T15:29:39Z","timestamp":1129822179000},"page":"84-123","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":79,"title":["Artificial Intelligence, Language, and the Study of Knowledge*,\u2020"],"prefix":"10.1111","volume":"1","author":[{"given":"Ira","family":"Goldstein","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Seymour","family":"Papert","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"311","published-online":{"date-parts":[[2010,2,11]]},"reference":[{"key":"e_1_2_1_2_1","volume-title":"Human associative memory","author":"Anderson J. 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