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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
e Award, the Rank Prize and the Robert Wood Prize for Optoelectronics, and the Benjamin Franklin Medal. Push Singh is a doctoral candidate in MIT's Department of Electrical Engineering and Computer Science. His research is focused on finding ways to give computers humanlike common sense, and he is presently collaborating with Marv
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
e Award, the Rank Prize and the Robert Wood Prize for Optoelectronics, and the Benjamin Franklin Medal. Push Singh is a doctoral candidate in M1T's Department of Electrical Engineering and Computer Science. His research is focused on finding ways to give computers humanlike common sense, and he is presently collaborating with Marv
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
e Award, the Rank Prize and the Robert Wood Prize for Optoelectronics, and the Benjamin Franklin Medal. Push Singh is a doctoral candidate in MIT's Department of Electrical Engineering and Computer Science. His research is focused on finding ways to give computers humanlike common sense, and he is presently collaborating with Marv
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