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erbs. I consider myself an expert on this topic, having written about it in many scholarly articles and in three books: Learnability and Cognition (MIT Press, 1989), Lexical and Conceptual Semantics (coedited with Beth Levin; Blackwell, 1992), and The Stuff of Thought: Language as a Window into Human Nat
w to represent, organize, and use much of commonsense knowledge, let alone build a machine that could learn all of that automatically on its own. As John McCarthy noted long ago: "in order for a program to be capable of learning something, it must first be able to represent that knowledge." There arc very few
erbs. I consider myself an expert on this topic, having written about it in many scholarly articles and in three books: Learnability and Cognition (MIT Press, 1989), Lexical and Conceptual Semantics (coedited with Beth Levin; Blackwell, 1992), and The Stuff of Thought: Language as a Window into Human Nat
w to represent, organize, and use much of commonsense knowledge, let alone build a machine that could learn all of that automatically on its own. As John McCarthy noted long ago: "in order for a program to be capable of learning something, it must first be able to represent that knowledge? There are very few
erbs. I consider myself an expert on this topic, having written about it in many scholarly articles and in three books: Learnability and Cognition (MIT Press, 1989), Lexical and Conceptual Semantics (coedited with Beth Levin; Blackwell, 1992), and The Stuff of Thought: Language as a Window into Human Nat
w to represent, organize, and use much of commonsense knowledge, let alone build a machine that could learn all of that automatically on its own. As John McCarthy noted long ago: "in order for a program to be capable of learning something, it must first be able to represent that knowledge." There are very few
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