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ion Networks: Connectionist and Symbolic Approaches to Comprehension, Learning, and Planning, Technical Report 890030, Computer Science Department, University of California, Los Angeles, CA (1989). (16.) E.T. Mueller, Natural Language Processing with ThoughtTreasure, Signiform, New York (1998), full text of book availa
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
ion Networks: Connectionist and Symbolic Approaches to Comprehension, Learning, and Planning, Technical Report 890030, Computer Science Department, University of California, Los Angeles, CA (1989). (16.) E.T. Mueller, Natural Language Processing with ThoughtTreasure, Signiform, New York (1998), full text of book availa
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
ion Networks: Connectionist and Symbolic Approaches to Comprehension, Learning, and Planning, Technical Report 890030, Computer Science Department, University of California, Los Angeles, CA (1989). (16.) E.T. Mueller, Natural Language Processing with ThoughtTreasure, Signiform, New York (1998), full text of book availa
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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