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(University of California, Berkeley), Ashwin Ram (Georgia Institute of Technology), Doug Riecken (IBM T. J. Watson Research Center), Roger Schank (Carnegie Mellon University), Mary Shepard (Cycorp), Push Singh (Massachusetts Institute of Technology), Jelivlark Siskind (Purdue University), Aaron Sloman (University of Bir
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
(University of California, Berkeley), Ashwin Ram (Georgia Institute of Technology), Doug Riecken (IBM T. J. Watson Research Center), Roger Schenk (Carnegie Mellon University), Mary Shepard (Cycorp), Push Singh (Massachusetts Institute of Technology), Jeffrey Mark Siskind rdue University), Aaron Sloman (University of Bi
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
(University of California, Berkeley), Ashwin Ram (Georgia Institute of Technology), Doug Riecken (IBM T. J. Watson Research Center), Roger Schank (Carnegie Mellon University), Mary Shepard (Cycorp), Push Singh (Massachusetts Institute of Technology), le ark Purdue Aaron Sloman (University of Birmingham), Oliver Steel
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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